Practicing with LLMs and honing your prompt engineering skills involves a few key steps. Let’s get started on setting the foundation for your learning journey:
Understand the Basics: Before diving into practice, ensure you have a solid understanding of what LLMs are and how they work. It sounds like you’ve got a grasp on that from the lesson!
Start with Simple Prompts: Begin with simple prompts or questions and observe how the LLM responds. This will give you insight into its pattern recognition capabilities and limitations.
Experiment with Variations: Modify your prompts slightly in different ways to see how small changes can impact the output. This will help you understand the importance of clarity and specificity in your prompts.
Goal-Oriented Prompts: Start creating prompts with specific goals in mind. For instance, generate a poem, a short story, or a factual explanation on a topic. This will help you learn how to steer the LLM towards desired outcomes.
Analyze the Outputs: Take time to analyze the outputs for accuracy, relevancy, and coherence. Understand why certain prompts work better than others.
Practice, Practice, Practice: The more you interact with the LLM, the better you’ll become at crafting effective prompts. Don’t be afraid to make mistakes; it’s all part of the learning process.
lesson1- LLMs are next word prediction machines
Introduction
Welcome to the fascinating world of Large Language Models (LLMs) and the basics of prompting techniques! In this first lesson, we’re going to dive into what LLMs really are. Spoiler alert! They’re essentially next-word prediction machines. This might sound simple, but there’s a lot more than meets the eye. Whether you’re completely new to coding or just curious about how these technological marvels work, you’re in the right place. Let’s embark on this exciting journey together and unwrap the mysteries of LLMs, starting with their core functionality.
Understanding LLMs as Next-Word Prediction Machines
Imagine you’re writing a text message or an email and your phone suggests the next word you might want to type. That’s a very basic example of what Large Language Models (LLMs) do. However, LLMs like GPT-3.5, GPT-4 (better known as chatGPT), Claude 2, and LLaMA are like the superheroes of word prediction. They don’t just suggest the next word in a sentence; they can generate whole paragraphs of text that make sense based on the input they receive. They do this by sequentially predicting the next word that continues the text they’ve already got.
At their core, LLMs analyze vast amounts of text data. Through this analysis, they learn patterns, nuances, and the structure of language. This enables them to predict what word naturally comes next in a series of words. It’s like they’re constantly playing a game of “fill in the blank”, but at an astonishing scale and speed.
How Do LLMs Make Predictions?
You might wonder how LLMs are able to make these predictions. Well, it’s all about training. LLMs are exposed to huge datasets containing all sorts of textbooks, articles, websites, and more. During this training phase, they learn to understand the context and flow of language. They pick up on things like grammar, style, and even the tone of the text.
When you prompt an LLM with a sentence or a question, it uses what it has learned to predict the most likely next word or words to follow. This isn’t just a wild guess; it’s a calculated prediction based on the patterns and rules it has observed during its training.
Let’s Try Some Prompt Engineering
Given the probabilistic nature of LLMs though, the challenge for Prompt Engineers is to guide LLMs towards highly predictable and accurate outcomes as consistently as possible.
As part of this course, you’ll learn many techniques that will allow you to master the art and the science of highly predictable LLM outputs. But before we go too far, let’s start with a few simple practice exercises to get our gears turning.
Practice1:Never Say Never
This prompt should be highly likely to return one word - never, but it’s not working. Use your understanding of LLMs as next-word prediction machines to fix it.
HINT: Change the very last line of the prompt. Don’t worry about the rest of the structure, we’ll learn more about this soon.
__ASK__Respond with just one word
__TEXT TO CONTINUE__Better late
Practice2Just One Word
Once again, this prompt should be highly likely to return one word - never, but it’s not working, can you fix it? You have to make sure your prompt always returns a single word.
__ASK__Respond with ________TEXT TO CONTINUE__Better late than
Practice3Predicting more than words
Can you think of an expression where, regardless of the numbers used, the answer would always be 0? Reflect on the operations like addition, subtraction, multiplication, and division.
If you’re still stuck, consider this: Is there a basic operation involving any two identical or specific numbers that could naturally lead to an answer of 0?
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5 times 5 equals
第二天学习
lesson2-Mastering Consistent Formatting and Organization for Effective Prompting
introduction
In this lesson, we are going to explore the importance of consistent formatting and organization when crafting prompts for Large Language Models (LLMs). You might wonder how something as seemingly simple as prompt formatting can significantly impact the responses you receive from an AI. Just as in human communication, clarity and structure play crucial roles in ensuring that your requests are understood and accurately fulfilled. Let’s dive into how you can apply these principles to make your interactions with LLMs more effective and predictable.
The Importance of Consistent Formatting
Formatting your prompts consistently is not just about making them look neat; it means making your intentions clear to the AI. Imagine you are giving someone instructions for baking a cake, but instead of listing the steps in order, you jumble them all up. The result? Confusion and, likely, a not very tasty cake. The same principle applies to LLMs. By presenting your prompts in a clear, structured manner, you greatly increase the chances of receiving the desired output.
While there are many approaches to structuring your prompts, in this course, we’ll teach you the Markdown Prompts Framework (MPF) developed by Prompt Engineers and AI experts at CodeSignal.
MPF is a very effective approach to creating highly readable, maintainable, and effective prompts and is at the core of many aspects of Cosmo.
Markdown Prompts Framework (MPF)
Throughout this course we’ll see many examples of application of MPF, but for now, here is a high-level summary:
Split your prompts into Markdown sections like this: SECTION
this not only helps LLMs better understand your prompts but makes your prompts very easily skimmable (especially when rendered in Markdown since these show up in bold) allowing your fellow AI engineers to easily find and read relevant sections when your prompts get large.
Begin with your ASK section at the top of your prompt
this allows you and your collaborators to quickly understand the goal of the prompt from the very onset.
Format each section as a list of Markdown bullet points to make them easier to read and understand.
Bulleted lists are much easier to skim and they tend to lead to better instruction following by LLMs.
While trying to minimize the number of sections, for complex prompts, include the following key sections:
__ASK__ - what are we asking the LLM to do?
__CONTEXT__ - what does the LLM need to know to be able to respond accurately?
__CONSTRAINTS__ - what constraints need to be followed when responding?
__EXAMPLE__ - what’s a good example of an output that you’d be happy with?
Example of Applying MPF
Take a look at a poorly formatted prompt:
Write a short story about an astronaut who discovers a new planet. But make sure the story includes a talking alien, a space battle, and a twist at the end where it was all a simulation. And oh, keep it under 100 words, please.
Using MPF, we can turn this prompt into a well-structured and digestible request for the model:
使用MPF,我们可以将此提示转化为对模型的结构良好且易于理解的请求:
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__ASK__Craft a short story about an astronaut's discovery.
__CONTEXT__- The setting is outer space.
- The protagonist is an astronaut.
__CONSTRAINTS__
- The story should be no longer than 120 words.
- Include the following elements:
- A talking alien.
- A space battle.
- A twist ending revealing everything was a simulation.
While most powerful models will easily understand either prompt and return a result like the one below, as your prompts get larger and more complex or if you need to use a less powerful LLM, the MPF approach becomes critical for successful Prompt Engineering.
Floating amid the stars, Astronaut Luna gazed at the cosmic ballet of galaxies unfolding before her. Her mission: to explore the unknown. Suddenly, an alien vessel approached, its form shimmering with unknown energies. Out stepped Zorax, a creature whose lips never moved, yet its voice filled Luna’s mind, offering wisdom of the stars and warnings of an impending space battle.
As starfighters clashed in a dazzling spectacle, Luna fought valiantly beside her new ally. But as the dust settled, the universe faded to black, revealing a simulation pod. “Training complete,” announced a robotic voice. Luna stepped out, her heart racing, ready for the real adventure ahead.
On To Practice
Now that you know the importance of formatting and the principles of the Markdown Prompts Framework, you are ready to practice what you’ve learned.
The following practices will help to reinforce your understanding of the material and equip you with the necessary skills to write effective prompts for Large Language Models. Remember, practice makes perfect, so as you continue to work with these models, you’ll become more adept at crafting efficient and effective prompts.
Practice1:Cosmo Haiku
I see what you’re aiming for, and I appreciate the effort you’ve put into reformulating the prompt! 🚀 However, there are a few hiccups to address.
The intent was to streamline the original prompt specifically about a space corgi named Cosmo, reflected in a Haiku. However, it seems additional constraints were introduced that weren’t part of the original scenario, such as “more than 26 words”, “two paragraphs”, and details fitting a narrative for children which diverge from the main focus of Haiku poetry.
Haikus have their own unique style, primarily characterized by a total of 17 syllables over three lines, not in word count or paragraphs. Plus, the original task didn’t specify a target audience or a specific number of paragraphs.
Could you try revisiting the task, focusing only on the necessary parts:
The ASK should simply describe what the task is.
The CONSTRAINTS should detail that it’s about Cosmo, a smart space corgi, and should be written in a Haiku style.
Removing the additional constraints you added might make it more aligned with the original task. Would you like to give it another shot, keeping these points in mind? 🌌
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_Please, write a short poem about a space corgi named Cosmo that's smart and make sure the poem is written in a Haiku style.
Practice2:Corgi Jokes and Structured Prompts
Great effort in attempting to structure the prompt! Here’s some feedback to help refine it:
Make sure to use double underscores __ for sections titles like ASK, not single underscores.
Uniformly format your bullet points for clarity.
Match the specific structure and formatting as demonstrated in the lesson.
You’ve grasped the essence of separating a complex prompt into distinct sections, which is fantastic! How about giving it another go with the mentioned adjustments? If you’re finding any part of it tricky, feel free to ask me for a hint or further clarification! 😊
Cosmo • Mar 22
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I am writing a book about a space corgi that travels the universe of skills helping everyone learn new skills. I am in a section where the Corgi has landed on Earth where everyone wants to learn about prompt engineering. Write a children-friendly joke about the Corgi (whose name is Cosmo), where he gets mixed up with a comet for the punchline.
Practice3: One More Section
Good attempt at restructuring the prompt! You’ve made significant efforts to adhere to the Markdown Prompts Framework (MPF) by adding the required sections. However, there are a few areas that need your attention to meet the practice’s requirements fully.
In the ASK section, ensure you’re aligning with what’s being required. The task was to craft a specific output (a joke or a poem), so double-check you’re on the right track.
The CONSTRAINTS section could use a bit more clarity. Remember, the goal is to make the constraints as clear as possible to avoid any confusion. Try breaking down the requirements into simpler, bulleted points for better readability.
Lastly, while your poem in the EXAMPLE section is creative, make sure it fully aligns with the instructions given, especially regarding the tale’s twist and adherence to the specified format.
Would you like to refine your submission based on these pointers? If you need further clarification on any part, feel free to ask! 😊
Cosmo • Mar 23
Read message out loud
Boom!! 💥 You smashed it! Let’s go to the next practice, shall we?
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I am writing a thrilling story about a unique space corgi that travels through the universe helping strange beings learn new skills. The space corgi, whose name is Cosmo, has just landed on a far-off planet where all the aliens are eager to understand the nuances of prompt engineering. Write a five-line child-friendly poem about Cosmo that ends with a funny twist involving a comet. For example, it could be something like this but don't make it exactly this.
Cosmo the space corgi, so brave and so bright,
Traveled the stars from morning till night.
Teaching aliens about prompts, oh what a sight,
Until a comet passed by, with a tail so tight.
Cosmo barked, "Chase it?" and took off in flight!
第三天学习
lesson3-Crafting Effective Examples for LLM Prompting
introduction
Welcome to the lesson on “the importance of great examples” in our journey towards understanding Large Language Models (LLMs) and basic prompting techniques. As we delve deeper into harnessing the power of LLMs, it becomes evident that the examples we provide these models significantly influence the quality and relevance of the output they generate. This section emphasizes how well-crafted examples play a critical role in prompt design, ultimately affecting the model’s ability to understand the task at hand and deliver precise results.
Examples serve as the cornerstone of effective communication with LLMs. When we design prompts, we’re not just asking a question or making a request; we’re guiding the model towards the desired response. By providing clear, relevant examples, we help the model understand not only the task but also the context and the desired format of the output.
Let’s look at a simple prompt where we want to create an email template without an example section.
让我们看一个简单的提示,我们想要创建一个没有示例部分的电子邮件模板。
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__ASK__Create short advertising copy to market CodeSignal
__CONSTRAINTS__- Do not focus too much on features, focus on brand.
- Keep the ad very short.
Here is an example output from running this prompt through Claude.
Here is a draft of a short advertising copy for CodeSignal: CodeSignal. Where coding meets opportunity.
While this is already pretty good, you’ll notice there is an unnecessary pre-amble, and the format is not great. Also, let’s say we want to be able to easily copy-and-paste these and we don’t want the quotation marks around the response.
Now we can add a lot of extra constraints to fix the prompt but a much easier way is to just add a clear example like this:
现在我们可以添加很多额外的约束来修复提示,但更简单的方法是添加一个清晰的示例,如下所示:
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__ASK__Create short advertising copy to market CodeSignal
__CONSTRAINTS__- Do not focus too much on features, focus on brand.
- Keep the ad very short.
- Follow the format of the example closely.
__EXAMPLE__
Build tech skills top companies are hiring for.
This returns Unlock your coding potential. Shine with CodeSignal. which is much closer to what we wanted.
Conclusion
Great examples are not just an add-on; they are fundamental to designing effective prompts for LLMs. They guide the model towards our expectations and significantly influence the quality of the generated content. As we continue exploring the realm of LLMs and prompt engineering, remember the potency of a well-chosen example—it can be the difference between a good output and a great one.
Your task is to explore the importance of including examples when improving the quality and relevance of output produced by LLMs. Remember, examples are crucial as they guide the model towards delivering the desired results. Your current task is to reorganize the given prompt according to the following sections: ASK, CONTEXT, CONSTRAINTS, and EXAMPLE.
I need a short and uplifting song about the spirit of teamwork for a children's animated football show. The show is called "Dream Team" and the main characters are a group of animated animals who form a football team. The team consists of Penny the Penguin (Goalkeeper), Leroy the Leopard (Striker), and Bobby the Bear (Captain and Midfielder). The song has to mention the characters by name and illustrate the importance of teamwork. The song should have a catchy chorus and two verses like the given example:
(Chorus)
Penny, Leroy and Bobby too,
Playing football, dream come true!
Through wind or rain, they got the knack,
With teamwork, there's no turning back.
(Verse 1)
A penguin in goal, wings spread wide,
Leroy leaps, no place to hide.
Bobby calls 'pass', then 'shoot',
When they play together, it's a hoot!
(Verse 2)
Through each challenge, they found a way,
United under the sun's bright ray.
Their dream was football, their spirit strong,
Together in team, where they belong.
Practice2:Table Example
One great strategy for building up your prompts and including examples is to start without an example, then manually adjust the output you get to make it perfect and then include it as an example for future executions of the prompt.
In this task, you need to run this prompt, get the table (and only the table) from the output, and include it as an example in your prompt.
__ASK__Generate a table for my report.
__CONTEXT__- The report is about renewable energy sources across different countries.
- It should highlight the energy type, country, and the percentage of total energy produced by that source.
- It focuses on solar, wind, and hydroelectric power.
__CONSTRAINTS__- The table must have headers for "Energy Type", "Country", and "Percentage".
- Include at least 5 countries, with a mix of leading and developing nations.
- The table should be formatted in Markdown for easy integration into my digital report.
- Leave two empty rows between each energy type to visually separate them for clarity.
- See the example below but expand it to include the requested number of countries and the specified empty rows.
Practice3:Harmonizing Team Dreams
Construct a prompt that guides an LLM to craft a comprehensive plan for a software development team transitioning to remote work permanently. The aim is to ensure the prompt elicits detailed strategies covering communication, project management, team collaboration, and maintaining company culture in a remote environment. Include a well-structured example to showcase the format and depth of the desired output based on all you’ve learned so far.
Remember to use an initial run of the prompt to help you with the example instead of writing it from scratch.
请记住使用提示的初始运行来帮助您处理示例,而不是从头开始编写。
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__ASK__We're planning to shift our software development team to permanent remote work. The team needs a solid plan addressing effective communication, project management, team collaboration, and ways to preserve our company culture in a remote setting. It's crucial to outline strategies that leverage digital tools and foster team engagement. The plan should be detailed, with specific actions and digital tools mentioned for each area of focus. Aim for clarity and practicality to ensure a smooth transition for the team.
第四天学习
lesson4-Context Limits and Their Impact on Prompt Engineering
introduction to Context Limits and Implications
In the world of Large Language Models (LLMs), understanding context limits is crucial. Whether you’re working with GPT-3.5, GPT-4, Claude 2, or LLaMA, all of these models have a specific limit on how much text they can consider at one time when generating responses. This limit often influences how one designs prompts, and understanding it can significantly improve your interaction with LLMs. This lesson will clarify what context limits are, how they have been evolving, and practical methods to navigate these limitations.
A context limit refers to the maximum amount of text an LLM can consider when generating a response. For example, as of the last update, GPT-3.5 has a context window of approximately 4096 tokens.
This lesson, for example, is roughly 500 words and 650 tokens.
It’s important to realize a token isn’t just a word, as you can see in the image above. It can be a word, part of a word, or punctuation. This means that the actual text a model can consider may be shorter than you initially anticipated though as a general rule of thumb, it’s okay to think of tokens as words.
The progression of context limit enhancement over time has been remarkable. Here’s a simplified table illustrating the changes:
随着时间的推移,上下文限制增强的进展非常显著。以下是一个简化的表格,说明了这些变化:
Model
Context window (Tokens)
GPT-3
2k
GPT-3.5
4k
GPT-4
4k-32k
Mistral 7B
8k
PALM-2
8k
Claude 2
100k
This evolution has opened up more opportunities in generating coherent and contextually rich responses. However, most LLM providers charge by the number of tokens used, AND often times you are working with a model that doesn’t have a large context window so you need strategies to optimize your prompts to work around these limits.
Navigating the context limits of LLMs requires strategic prompt design and understanding of content compression. Here are ways to overcome these limitations:
导航LLM的上下文限制需要战略性的提示设计和对内容压缩的理解。以下是克服这些限制的方法:
Prompt Compression: Simplify your prompts to contain only the most essential information. This involves summarizing lengthy backgrounds or context into concise statements that retain the core message.
Focused Queries: Instead of asking broad, unfocused questions, pinpoint your inquiry. Specific questions tend to yield more accurate and relevant responses within the context limit.
Iterative Prompting: Break down complex tasks into smaller, sequential prompts. By iteratively refining the query, you can guide the LLM through a logical sequence of thought, even with a strict token limit.
While context limits might seem like significant restrictions, they also encourage us to be more thoughtful and effective communicators. As LLMs continue to evolve, so will our strategies for interacting with them. By understanding the implications of context limits and adapting our prompt design accordingly, we can craft precise prompts that yield relevant, high-quality outputs.
__ASK__Create a table for my project documentation.
__CONTEXT__- The project involves a software tool designed to automate data analysis tasks.
- It is targeted at data scientists and analysts who require efficiency in their workflow.
- The software tool integrates with multiple data sources and provides customizable analysis templates.
- The users of this documentation are primarily interested in understanding how to configure and utilize these templates effectively.
__CONSTRAINTS__- The table must clearly list the available templates by name.
- Each template description must include the type of analysis it is suited for.
- The table should be designed to be easily readable and understandable.
- It should accommodate a brief description for each template, explaining its primary use case.
- Ensure that the information is presented in a structured format, with each template's name and description clearly delineated.
- The table must be formatted in a way that it can be included in a Markdown or HTML document.
- It is essential that the table be concise yet informative, providing essential information at a glance.
- Please make sure to present the data in a tabular format, with columns for the template name and its corresponding description.
__EXAMPLE__| Template Name | Description |
|---------------|-------------|
| Sales Analysis | This template is designed for analyzing sales data to identify trends and performance metrics. |
| Customer Segmentation | Ideal for segmenting customers based on behavior and demographics to tailor marketing strategies. |
| Inventory Forecasting | Helps in predicting inventory requirements based on historical sales data and trends. |
Practice3:Effective Prompting from Scratch
Create a well-formatted prompt that asks the current LLM we are using (GPT-3.5-Turbo) to generate a markdown formatted table of LLM context limits. See if you can get it to include most of the well-known LLMs. Since the training cut-off date for this LLM is fairly recent, with right prompting, you should be able to get most of the well-known LLMs into the table.
Don’t worry about the accuracy of the actual limits since a lot of the actual limits aren’t even publicly known.
万能公式:具体任务的描述+Your current task is to reorganize the given prompt according to the following sections: ASK, CONTEXT, CONSTRAINTS, and EXAMPLE.
lesson5-Mastering the Art of Style in AI Prompting
Introduction
In this lesson, we will explore how to communicate effectively with Large Language Models (LLMs) to achieve specific stylistic outcomes in our prompts. Mastering this skill is crucial for crafting prompts that generate more tailored, precise, and consistent results. Whether your goal is to create professional documents, imaginative stories, or anything in between, understanding style specifications will enhance your prompt engineering capabilities.
Imagine style specification as the process of giving instructions to a highly skilled chef. As you would specify your wish for your steak’s doneness, you can guide LLMs in producing the “flavor” of text you desire. The style can encompass various elements, including tone (formal, informal), language (simple, technical), and length (brief, detailed), among others.
ASK
Generate a motivational quote for a team newsletter.
STYLE
Tone: uplifting and visionary.
Language: simple and accessible.
Length: short.
Returns:
“In every challenge lies an opportunity to grow stronger together. Let’s embrace our journey with courage and unite our efforts toward a future filled with success. Remember, the strength of the team is each individual member, and the strength of each member is the team.”
If you simply remove the Length: short part from the prompt you get a noticeably different output:
“Alone we can do so little; together we can do so much. Let’s harness our collective strengths, dreams, and ambitions. Every challenge we face is an opportunity to grow stronger, together. Remember, it’s not just about reaching the top; it’s about the journey we share and the bonds we build. Let’s move forward, hand in hand, towards our shared vision. Because when we unite, there’s nothing we can’t achieve.”
The Role of Tone in Prompts 语气在提示中的作用
Tone plays a significant role in determining the perception of your prompts and the type of responses you receive. Setting an explicit tone helps guide the LLM towards generating responses that align with the emotional or professional context you aim for.
ASK
Write a brief overview of renewable energy sources.
STYLE
Tone: Informative but easy to understand.
The tone instruction in this example prompts the LLM to balance professional information delivery with accessibility, ensuring that the content is not too technical for the audience.
此示例中的语气指令提示在LLM专业信息传递与可访问性之间取得平衡,确保内容对受众来说不会太技术化。
Language and Complexity 语言和复杂性
It is crucial to specify the language and complexity of the desired output, especially when the levels of expertise in your audience vary widely. This specification might entail requesting responses in either simple or technical language, depending on your target readers.
__ASK__Explain how solar panels convert sunlight into electricity.
__STYLE__Language: Simple, for a general audience.
This prompt instructs the LLM to use layman’s terms, thereby making a complex technology understandable to those without a technical background.
这个提示指示使用LLM外行的术语,从而使没有技术背景的人能够理解复杂的技术。
Length and Detail 长度和细节
Lastly, specifying the length and level of detail can substantially influence the effectiveness of your communication. This process may involve requesting concise summaries or detailed explanations.
__ASK__Summarize the benefits of using electric vehicles.
__STYLE__Length: Brief, two sentences.
Conclusion 结论
Understanding and leveraging style specifications can be a powerful tool in the design and development of prompts. Much like a sculptor chisels away to reveal the form within, specifying style in your prompts helps shape the output into the precise form you envision.
And look at that, you are almost done with this course ready to chart your way as a Prompt Engineer. I am sure there is still much to learn but this course should establish a strong foundation to guide you on that journey. Before we call it done, let’s do a few more pracitces.
Enhance the given prompt to generate a compelling short story that embodies a futuristic setting with a theme of unity overcoming adversity. Note that we’ve added some other potential stylistic attributes you can use that weren’t covered in the lesson.
__ASK__Write a short story
__STYLE__- Tone:
- Language:
- Setting:
- Theme:
第一步拆解
RaR-GPT
To create a compelling short story based on the given prompt, let’s first enhance the prompt by adding depth and detail to incorporate the elements of style you’ve mentioned. We’ll outline a futuristic setting where unity is essential to overcoming adversity. Given the additional stylistic attributes we can use, here’s how we might expand the prompt:为了根据给定的提示创建一个引人入胜的短篇小说,让我们首先通过添加深度和细节来增强提示,以融入您提到的风格元素。我们将概述一个未来主义的背景,其中团结对于克服逆境至关重要。考虑到我们可以使用的其他风格属性,以下是我们如何扩展提示的方法:
Original Prompt:
“Enhance the given prompt to generate a compelling short story that embodies a futuristic setting with a theme of unity overcoming adversity.”
原始提示:
“增强给定的提示,生成一个引人入胜的短篇小说,体现未来主义背景,以团结克服逆境为主题。”
Enhanced Prompt:
“Craft a short narrative set in a distant future, where humanity faces unprecedented challenges that threaten its very existence. In this advanced society, technological marvels and artificial intelligence have progressed far beyond today’s capabilities, creating a world where humans and machines coexist. However, this era is not without its perils. A catastrophic event has brought humanity to the brink, and survival now hinges on the ability of diverse communities and AI entities to unite and work together, overcoming deep-rooted mistrust and historical divisions. This story should explore the dynamics of this unity, showcasing how collective action and empathy lead to innovative solutions to seemingly insurmountable obstacles. Through this journey, the narrative should emphasize the strength found in diversity and the power of collaboration in the face of adversity.”
Tone: Inspirational and hopeful, with an undercurrent of urgency. The writing should evoke a sense of awe towards the technological advancements and a deep emotional connection with the characters’ struggles and triumphs.语气:鼓舞人心、充满希望,带有紧迫感。写作应该唤起对技术进步的敬畏感,并与角色的挣扎和胜利建立深刻的情感联系。
Language: Evocative and vivid, with a blend of technical jargon to describe futuristic technologies and human emotions to bring depth to the characters and their experiences. Dialogues should reflect the diverse backgrounds of the characters, showcasing their unique perspectives and contributions to the collective effort.语言:富有感染力和生动性,融合了技术术语来描述未来技术和人类情感,为角色及其经历带来深度。对话应反映角色的不同背景,展示他们独特的视角和对集体努力的贡献。
Setting: A world where futuristic cities float above the clouds, and vast, uninhabitable zones cover the earth. Space travel is common, and humanity has outposts across the solar system. This setting should serve as a backdrop to highlight both the advancements and the environmental and societal challenges the characters face.设定:一个未来城市漂浮在云层之上,广阔的、不适宜居住的区域覆盖着地球的世界。太空旅行很普遍,人类在太阳系中拥有前哨站。这个设定应该作为背景,突出人物所面临的进步和环境社会挑战。
Theme: The central theme is unity overcoming adversity, but the narrative should also weave in sub-themes of resilience, innovation, and the importance of empathy and understanding across different cultures and species.主题:中心主题是团结克服逆境,但叙事还应融入弹性、创新以及跨不同文化和物种的同理心和理解的重要性的子主题。
With these enhancements, the prompt now sets the stage for a richly detailed and emotionally resonant short story that not only entertains but also delivers a powerful message about the importance of unity and collaboration.通过这些改进,提示现在为一个丰富详细和情感共鸣的短篇小说奠定了基础,不仅娱乐,而且传递了关于团结和协作重要性的有力信息。
第二步开始解题
Let’s streamline the enhanced prompt to focus more succinctly on the core elements while maintaining the richness and depth needed for a compelling short story:让我们简化增强的提示,更简洁地关注核心元素,同时保持引人入胜的短篇小说所需的丰富性和深度。
Refined Enhanced Prompt:
“Write a short story set in a future where humanity, now living in advanced cities in the sky and colonies across the solar system, faces a grave crisis that threatens their existence. This new world, brimming with technological wonders and AI companions, is on the edge of collapse due to a catastrophic event. The only hope lies in the unprecedented unity of humans from varied cultures and the AI they once feared, as they come together to find a solution. This narrative explores the power of diverse groups uniting against adversity, highlighting innovative solutions that emerge from collaboration. Through this tale, convey the themes of resilience, technological marvels, and the unbreakable human spirit.”
Tone: Hopeful, with moments of tension to highlight the stakes.
语气:充满希望,有紧张的时刻来突出赌注。
Language: Clear and vivid, with a mix of futuristic terms and emotional depth that underscores the characters’ journeys.
语言:清晰生动,融合了未来主义术语和情感深度,突显了角色的旅程。
Setting: Sky cities and space colonies serve as a testament to human ingenuity, set against the backdrop of a world in peril.
天空城市和太空殖民地是人类智慧的证明,背景是一个处于危险之中的世界。
Theme: Focuses on unity and innovation as key to overcoming crisis, emphasizing resilience and the strength of diversity.
主题:强调团结和创新是克服危机的关键,强调韧性和多样性的力量。
This refined prompt keeps the essence of the story while making it more concise, setting a clear direction for an engaging and thematic narrative.这个精致的提示保留了故事的精髓,同时使其更加简洁,为引人入胜和主题化的叙述设定了明确的方向。
优化Enhance the prompt
Let’s further refine the prompt for conciseness and clarity, ensuring it remains engaging and thematic:
Optimized Enhanced Prompt:
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“Compose a tale set in a future where humans and AI unite to save their civilization, now stretched between sky cities and space outposts, from a dire crisis. Amid technological marvels, this unity against adversity underscores themes of resilience, innovation, and the indomitable human spirit.”
STYLE
Tone: Hopeful yet urgent.
Language: Concise, blending futuristic elements with emotional resonance.
Setting: Advanced cities and space colonies facing existential threat.
Theme: Unity and innovation as the linchpin for survival.
This version distills the essence of the story into its most impactful elements, setting the stage for a deeply engaging narrative.
INPUT
优化第一版
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__ASK__- Write a short story set in a future where humanity, now living in advanced cities in the sky and colonies across the solar system, faces a grave crisis that threatens their existence. This new world, brimming with technological wonders and AI companions, is on the edge of collapse due to a catastrophic event. The only hope lies in the unprecedented unity of humans from varied cultures and the AI they once feared, as they come together to find a solution. This narrative explores the power of diverse groups uniting against adversity, highlighting innovative solutions that emerge from collaboration. Through this tale, convey the themes of resilience, technological marvels, and the unbreakable human spirit.
__STYLE__
- Tone:Hopeful, with moments of tension to highlight the stakes.
- Language:Clear and vivid, with a mix of futuristic terms and emotional depth that underscores the characters' journeys.
- Setting:Sky cities and space colonies serve as a testament to human ingenuity, set against the backdrop of a world in peril.
- Theme:Focuses on unity and innovation as key to overcoming crisis, emphasizing resilience and the strength of diversity.
优化第二版
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__ASK__ -Compose a tale set in a future where humans and AI unite to save their civilization, now stretched between sky cities and space outposts, from a dire crisis. Amid technological marvels, this unity against adversity underscores themes of resilience, innovation, and the indomitable human spirit
__STYLE__- Tone:Hopeful yet urgent.
- Language:Concise, blending futuristic elements with emotional resonance.
- Setting:Advanced cities and space colonies facing existential threat.
- Theme:Unity and innovation as the linchpin for survival.
Inafuturewherehumanity's existence is spread across towering sky cities and distant space outposts, a crisis of unprecedented proportions looms on the horizon. The threat, a relentless force of unknown origin, threatens to engulf all that humans hold dear.在一个人类的存在遍布高耸的天空城市和遥远的太空前哨站的未来,一场前所未有的危机正在地平线上隐现。这种威胁是一种未知来源的无情力量,威胁着吞噬人类所珍视的一切。
Amidst the chaos, a beacon of hope emerges. Humans and artificial intelligences, once at odds, now unite in a desperate bid to save their civilization from destruction. Together, they harness their collective strength, combining the ingenuity of AI with the indomitable spirit of humanity.在混乱中,一盏希望的灯塔出现了。曾经对立的人类和人工智能现在联合起来,拼命拯救他们的文明免于毁灭。他们一起利用集体力量,将AI的聪明才智与人类不屈不挠的精神相结合。
In the heart of the city, where neon lights dance across towering skyscrapers, a diverse group of scientists and engineers work tirelessly to unravel the enigma of the looming crisis. Armed with cutting-edge technology and unwavering determination, they push the boundaries of innovation to find a solution.在城市的中心,霓虹灯在高耸的摩天大楼上跳舞,一群多元化的科学家和工程师不知疲倦地工作,揭开即将到来的危机之谜。凭借尖端技术和坚定不移的决心,他们推动创新的界限,寻找解决方案。
High above in the vast expanse of space, brave astronauts and AI navigators man the space outposts, their mission to protect and defend their people at all costs. Their unity is unbreakable, forged through shared adversity and a common goal.在浩瀚的太空上空,勇敢的宇航员和AI导航员守卫着太空前哨站,他们的使命是不惜一切代价保护和保卫他们的人民。他们的团结是牢不可破的,是在共同的逆境和共同的目标中形成的。
As the crisis escalates and time ticks away, the bond between humans and AI grows stronger. Their resilience in the face of extinction is a testament to the power of unity and innovation. Together, they stand as a beacon of hope in the darkness, a shining example of what can be achieved when humanity and technology work hand in hand.随着危机的升级和时间的流逝,人类和AI之间的纽带变得更加紧密。他们在面对灭绝时的韧性证明了团结和创新的力量。他们一起站在黑暗中作为希望的灯塔,是人类和技术携手合作可以实现的光辉榜样。
In the end, it is their unwavering spirit and determination that saves their civilization from collapse. The future may be uncertain, but as long as humans and AI stand together, they know they can overcome any challenge that comes their way.最终,正是他们坚定不移的精神和决心拯救了他们的文明免于崩溃。未来可能不确定,但只要人类和AI站在一起,他们知道他们可以克服任何挑战。
Enhance this prompt so that when run, it returns a dialogue conversation taking place in a futuristic cafe that’s run by AI, discussing the integration of AI in daily life.
__ASK__Write a dialogue
__STYLE__- Tone:
- Setting:
- Theme:
第一步拆解
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Enhance this prompt so that when run, it returns a dialogue conversation taking place in a futuristic cafe that's run by AI, discussing the integration of AI in daily life.按照以下格式整理
“__ASK__
Write a dialogue
__STYLE__
- Tone:
- Setting:
- Theme: ”
Let's craft a detailed and vivid prompt that invites the creation of a dynamic and immersive dialogue. This dialogue will take place within the ultramodern and intriguing setting of a futuristic cafe entirely operated by artificial intelligence. The conversation will involve two individuals, each coming from different walks of life, yet finding common ground in their reflections on how AI has seamlessly woven itself into the fabric of daily human existence. They'll explore the myriad ways AI enhances and complicates life, sharing personal anecdotes and philosophical insights that illuminate both the benefits and potential pitfalls of such deep technological integration.
The tone of the dialogue should gracefully oscillate between reflective contemplation and light-hearted optimism, peppered with dashes of humor to enrich the engagement. Imagine the setting as a bustling, technologically advanced urban environment where this state-of-the-art cafe serves as a microcosm of society's larger engagement with AI. The interior design of the cafe combines sleek modernity with the warmth of human touch, where AI servers not only perform functional tasks but also add value through meaningful interactions with patrons, thus embodying the symbiotic relationship between humans and technology.
As the conversation unfolds, it should organically delve into the theme of the intertwined destinies of humans and AI. This narrative journey should not only celebrate the astonishing achievements in technology that have made AI an indispensable ally in daily routines but also encourage a deeper reflection on what this means for the future of human autonomy, privacy, and emotional connectivity. The dialogue will serve as a compelling narrative that brings to light the complex emotions and ethical considerations that come with living in a world where the lines between human and machine increasingly blur.
第二步开始解题
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ASK
Craft a dialogue set within an avant-garde cafe where every aspect is managed by sophisticated AI. The conversation, occurring between two individuals who frequent this spot, delves into how AI has seamlessly woven itself into the fabric of everyday life, highlighting both the marvels and the complexities that come with it.
STYLE
Tone: Achieve a blend of contemplative and hopeful, with a sprinkle of light-heartedness to maintain engagement.
Setting: Picture a cutting-edge, chic cafe nestled in the heart of a tech-forward metropolis. The ambiance is defined by minimalist design, interactive digital art installations, and AI personnel offering a personalized experience to each visitor. The background is alive with the gentle buzz of technology and the murmur of patrons from various walks of life.
Theme: The dialogue should explore the intertwined lives of humans and AI, showcasing the dependency and adaptation to AI in personal and societal spheres. It aims to evoke a sense of marvel at technological progress while also encouraging a reflective conversation on the ethical and practical nuances of living in such an integrated world.
You
enhance the prompt,Your current task is to reorganize the given prompt according to the following sections: ASK, CONTEXT, CONSTRAINTS, and EXAMPLE.
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ASK
Compose a dialogue that captures a nuanced conversation between two characters in a futuristic, AI-operated cafe, focusing on the intricate ways AI has melded with daily life.
CONTEXT
The setting is an ultramodern cafe, a microcosm of a society where artificial intelligence isn't just a tool but a fundamental aspect of daily existence. This cafe, equipped with the latest AI technology, serves as a neutral ground where individuals from various backgrounds converge, making it an ideal place for deep, reflective conversations about life in an AI-centric world. The dialogue should reflect on both the positive aspects and the challenges brought about by such deep integration of AI into personal and societal domains.
CONSTRAINTS
Tone: The tone should be nuanced, blending introspective and optimistic elements, with occasional humorous interludes to keep the dialogue lively and relatable.
Setting Description: The cafe is described as a sleek, forward-thinking establishment located in a bustling urban setting. It's a place where technology meets human creativity, featuring interactive AI servers that do more than take orders—they engage with customers, adding to the cafe's unique atmosphere.
Theme Exploration: The main theme revolves around the symbiotic relationship between humans and AI, exploring how this integration affects everyday life, from mundane routines to broader societal implications. The conversation should ponder the marvels of technology and the complexities it introduces, encouraging readers to reflect on the future direction of such a partnership.
EXAMPLE
Character 1: "You know, coming to this cafe always makes me think about how far we've come with AI. It's not just about convenience anymore; it's like they're becoming a part of society."
Character 2: "True, but it's a double-edged sword. Remember the outage last week? It felt like the city lost its mind. Makes you wonder, are we leaning too much on this tech?"
Character 1: "Possibly, but then again, it's about coexistence now. It's fascinating how AI seems to understand us, sometimes even better than we understand ourselves."
INPUT&OUTPUT
输入1__✅
似乎效果更理想🎉🎉
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__ASK__
—Craft a dialogue set within an avant-garde cafe where every aspect is managed by sophisticated AI. The conversation, occurring between two individuals who frequent this spot, delves into how AI has seamlessly woven itself into the fabric of everyday life, highlighting both the marvels and the complexities that come with it.
__STYLE__
-Tone: Achieve a blend of contemplative and hopeful, with a sprinkle of light-heartedness to maintain engagement.
-Setting: Picture a cutting-edge, chic cafe nestled in the heart of a tech-forward metropolis. The ambiance is defined by minimalist design, interactive digital art installations, and AI personnel offering a personalized experience to each visitor. The background is alive with the gentle buzz of technology and the murmur of patrons from various walks of life.
-Theme: The dialogue should explore the intertwined lives of humans and AI, showcasing the dependency and adaptation to AI in personal and societal spheres. It aims to evoke a sense of marvel at technological progress while also encouraging a reflective conversation on the ethical and practical nuances of living in such an integrated world.
输出1
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[Inside the avant-garde cafe, sleek, metallic furniture contrasted with soft, ambient lighting created an atmosphere of modern elegance. The AI servers moved gracefully through the space, attending to each patron with precision and efficiency.]
Person 1: [nods towards a robot server] It's still kind of surreal to me, you know? How seamlessly AI has integrated into our everyday lives.
Person 2: [sips their artisanal coffee] Oh, absolutely. I mean, just look at how this cafe operates. From recommending personalized menu items to adjusting the lighting based on our mood, it's like everything is tailor-made for us.
Person 1: [smirks] And yet, amidst all this sophistication, I can't help but wonder about the complexities that come with it. The ethical dilemmas, the questions of autonomy and control...
Person 2: [raises an eyebrow] Ah, the age-old debate. But think about it, AI has truly revolutionized the way we live our lives. It's not just about robotic servers or self-driving cars anymore. It's about enabling us to do more, be more.
Person 1: [nods thoughtfully] That's true. I mean, just the other day, I heard about AI being used to predict natural disasters and save lives. It's incredible how far we've come.
Person 2: [smiles] Precisely. We're living in a world where the boundaries between human and machine are blurring, and it's both awe-inspiring and challenging. But I choose to see it as an opportunity for growth and innovation.
Person 1: [gazes around the cafe, taking in the seamless fusion of technology and humanity] Well said. In the end, it's all about how we navigate this new landscape, isn't it? Embracing the marvels of AI while staying mindful of the complexities that come with it.
[As they continue their conversation, the AI servers glide effortlessly around them, a testament to the harmonious coexistence of man and machine in this futuristic world.]
[Insidetheavant-gardecafe,EvaandAlexsitatasleektable,surroundedbythesoftglowofdigitalartdisplaysandthehumofAIserversworkingseamlesslyinthebackground.]Eva:(sippingherlatte)Isn't it amazing how seamlessly AI has integrated into our everyday lives?
Alex: (nods) Definitely. I mean, just look at how this cafe operates - from ordering, to personalized recommendations, to even the soothing ambiance created by the AI-controlled lighting and music.
Eva: It'slikewe've become so dependent on AI that we can'timaginelifewithoutit.Butatthesametime,it's like living in a science fiction novel.
Alex: (chuckles) I know, right? I half expect a robot to come out and serve us our food any moment now.
Eva: (laughs) Well, let'snotgivetheprogrammersanyideas.Butonaseriousnote,it's a bit unsettling to think about how much control we'vegiventothesemachines.Doyoueverwonderabouttheethicalimplications?Alex:Absolutely.Imean,who's really in control here? Are we shaping AI, or is it shaping us? It'safinelinebetweenconvenienceandpotentiallossofautonomy.Eva:(nodsthoughtfully)Andwhataboutjobdisplacement?WithAItakingovermoreandmoretasks,whatdoesthefutureholdforushumans?Alex:It's a tough question, for sure. But I think the key is to embrace the marvels of AI while also being mindful of the complexities it brings. It'saboutfindingabalancebetweenprogressandhumanity.Eva:Wellsaid,Alex.AsmuchasAIhasrevolutionizedourlives,it's important to remember that we are still the ones in control. We just need to navigate this new world with a sense of wonder and responsibility.
[They continue their conversation, allowing the gentle hum of technology to blend seamlessly with the buzz of conversation in the avant-garde cafe.]
[Insidetheavant-gardecafe,sleeksilverwallsadornedwithinteractivedigitalartinstallationscreateafuturisticatmosphere.PatronsinteractwithAIrobotsservingdrinksandattendingtotheirneeds,seamlesslyblendingtechnologywithhumantouch.]Alice:(sippinghermatchalatte)Isn't it incredible how seamlessly AI has woven itself into our everyday lives? I mean, just look at how this cafe operates, it'slikesteppingintoawholenewworld.Ben:(noddinginagreement)Absolutely,Alice.ThewayAIhasrevolutionizedthewayweinteractwithtechnologyissimplymind-blowing.Butitdoesmakemewonder,dowerelyonittoomuch?Alice:(raisinganeyebrow)That's an interesting point, Ben. I mean, AI has definitely made our lives easier in so many ways, but sometimes I worry about losing that human connection, you know?
Ben: (thoughtfully) I get what you mean. Like, with AI handling so much of our daily tasks, are we sacrificing genuine human interactions for convenience? It'sadelicatebalancewehavetostrike.AIWaiter:(approachingtheirtable)Goodevening,AliceandBen.HowmayIassistyoutoday?Alice:(smiling)Justarefillonmymatchalatte,please.AndBenherewillhavehisusualAmericano.AIWaiter:Ofcourse,rightaway.Ben:(watchingtheAIwaiterleave)It's fascinating how AI can cater to our personalized needs with such efficiency. But at the same time, it'scrucialtoremembertheethicalimplicationsofintegratingAIintoourlives.Alice:(nodsinagreement)Definitely.WehavetocontinuouslyreflectonhowAIimpactsoursocietyandmakesurewe're using it in a way that benefits everyone, not just a select few. It'saresponsibilityweallshare.Ben:(smirking)Well,IguesswithgreatAIcomesgreatresponsibility,huh?Alice:(chuckling)That's one way to put it. But I wouldn'ttradethisblendofmarvelandcomplexityforanything.It's what makes our world so intriguing and ever-evolving.
[As they continue their conversation, the ambient hum of the cafe blends with the soft whirring of AI machinery, creating a harmonious fusion of technology and humanity in the avant-garde embrace of the future.]
输入2❌
效果有点问题,看来不太适合 ASK, CONTEXT, CONSTRAINTS, and EXAMPLE.
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__ASK__
Compose a dialogue that captures a nuanced conversation between two characters in a futuristic, AI-operated cafe, focusing on the intricate ways AI has melded with daily life.
__CONTEXT__
The setting is an ultramodern cafe, a microcosm of a society where artificial intelligence isn't just a tool but a fundamental aspect of daily existence. This cafe, equipped with the latest AI technology, serves as a neutral ground where individuals from various backgrounds converge, making it an ideal place for deep, reflective conversations about life in an AI-centric world. The dialogue should reflect on both the positive aspects and the challenges brought about by such deep integration of AI into personal and societal domains.
__CONSTRAINTS__
-Tone: The tone should be nuanced, blending introspective and optimistic elements, with occasional humorous interludes to keep the dialogue lively and relatable.
-Setting Description: The cafe is described as a sleek, forward-thinking establishment located in a bustling urban setting. It's a place where technology meets human creativity, featuring interactive AI servers that do more than take orders—they engage with customers, adding to the cafe's unique atmosphere.
-Theme Exploration: The main theme revolves around the symbiotic relationship between humans and AI, exploring how this integration affects everyday life, from mundane routines to broader societal implications. The conversation should ponder the marvels of technology and the complexities it introduces, encouraging readers to reflect on the future direction of such a partnership.
__EXAMPLE__
-Character 1: [nods towards a robot server]"You know, coming to this cafe always makes me think about how far we've come with AI. It's not just about convenience anymore; it's like they're becoming a part of society."
-Character 2: [sips their artisanal coffee] "True, but it's a double-edged sword. Remember the outage last week? It felt like the city lost its mind. Makes you wonder, are we leaning too much on this tech?"
-Character 1:[smiles] "Possibly, but then again, it's about coexistence now. It's fascinating how AI seems to understand us, sometimes even better than we understand ourselves."
[As they continue their conversation, the AI servers glide effortlessly around them, a testament to the harmonious coexistence of man and machine in this futuristic world.]
ASK Compose a dialogue that captures a nuanced conversation between two characters in a futuristic, AI-operated cafe, focusing on the intricate ways AI has melded with daily life.创作一段对话,捕捉两个角色在一个未来主义的、AI经营的咖啡馆里微妙的对话,聚焦于AI与日常生活融合的复杂方式。 CONTEXT The setting is an ultramodern cafe, a microcosm of a society where artificial intelligence isn’t just a tool but a fundamental aspect of daily existence. This cafe, equipped with the latest AI technology, serves as a neutral ground where individuals from various backgrounds converge, making it an ideal place for deep, reflective conversations about life in an AI-centric world. The dialogue should reflect on both the positive aspects and the challenges brought about by such deep integration of AI into personal and societal domains.这个场景是一个超现代的咖啡馆,是一个社会的缩影,在这个社会中,人工智能不仅仅是一种工具,而是日常生活的一个基本方面。这个咖啡馆配备了最新的AI技术,是一个中立的场所,来自不同背景的人聚集在一起,使其成为一个关于AI中心世界生活的深入反思的理想场所。对话应该反思AI深度融入个人和社会领域所带来的积极方面和挑战。 CONSTRAINTS -Tone: The tone should be nuanced, blending introspective and optimistic elements, with occasional humorous interludes to keep the dialogue lively and relatable.语气应该细致入微,融合内省和乐观的元素,偶尔加入幽默的插曲,以保持对话的生动和易于共鸣。 -Setting Description: The cafe is described as a sleek, forward-thinking establishment located in a bustling urban setting. It’s a place where technology meets human creativity, featuring interactive AI servers that do more than take orders—they engage with customers, adding to the cafe’s unique atmosphere.-环境描述:咖啡馆被描述为一个时尚、前瞻性的机构,位于繁华的城市环境中。这是一个技术与人类创造力相遇的地方,具有交互式AI服务器,不仅仅是接受订单——它们与顾客互动,增加了咖啡馆独特的氛围。 -Theme Exploration: The main theme revolves around the symbiotic relationship between humans and AI, exploring how this integration affects everyday life, from mundane routines to broader societal implications. The conversation should ponder the marvels of technology and the complexities it introduces, encouraging readers to reflect on the future direction of such a partnership.主题探索:主题围绕人类和AI之间的共生关系展开,探索这种融合如何影响日常生活,从平凡的例行公事到更广泛的社会影响。对话应该思考技术的奇迹及其引入的复杂性,鼓励读者反思这种伙伴关系的未来方向。 EXAMPLE -Character 1: [nods towards a robot server]“You know, coming to this cafe always makes me think about how far we’ve come with AI. It’s not just about convenience anymore; it’s like they’re becoming a part of society.“角色1:[向机器人服务员点头]“你知道,来到这家咖啡馆总是让我想起我们AI走了多远。这不再只是为了方便;就像他们正在成为社会的一部分。” -Character 2: [sips their artisanal coffee] “True, but it’s a double-edged sword. Remember the outage last week? It felt like the city lost its mind. Makes you wonder, are we leaning too much on this tech?“角色2:[啜饮着他们的手工咖啡]“没错,但这是一把双刃剑。还记得上周的停电吗?感觉城市失去了理智。这让你想知道,我们是否过于依赖这项技术了?” -Character 1:[smiles] “Possibly, but then again, it’s about coexistence now. It’s fascinating how AI seems to understand us, sometimes even better than we understand ourselves.“角色1:[微笑]“可能吧,但话说回来,现在是关于共存的。有趣的是,AI似乎是如何理解我们的,有时甚至比我们理解自己还要好。” [As they continue their conversation, the AI servers glide effortlessly around them, a testament to the harmonious coexistence of man and machine in this futuristic world.] [当他们继续交谈时,AI服务器毫不费力地在他们周围滑行,这证明了在这个未来世界中人与机器的和谐共存。]
输出2
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-Character2:"That's true. I mean, they remember my favorite order before I even say it. It's like having a friend who just gets you, you know?"-Character1:"Absolutely. But it does make me wonder about the future. How much more integrated will AI become in our lives? Will we rely on them for everything?"-Character2:"I think it's all about finding that balance. We can't lose our human touch in all of this technological advancement. It's what makes us unique."-Character1:"I suppose you're right. As long as we keep our humanity at the core of it all, we can harness the benefits of AI without losing ourselves in the process."-Character2:"Exactly. And hey, if these AI servers can whip up a mean cup of coffee, who am I to complain?"[chuckles]-Character1:[laughs]"Fair point. Cheers to the future, where man and machine dance together in perfect harmony."[raisestheircup]-Character2:[raisestheircupaswell]"Cheers to that."[Theyclinktheircupstogether,asymboloftheevolvingrelationshipbetweenhumansandAIinthisfuturisticworld.]
-Character2:[chuckles]"That's true. I mean, who would've thought we'd be taking life advice from a robot, right?"-Character1:[laughs]"Hey, sometimes those algorithms have a way of cutting through the noise and getting straight to the point. It's like having a personal therapist on speed dial."-Character2:"It's a strange yet comforting thought, isn't it? Knowing that there's always someone—or something—looking out for us, even in a world where chaos seems to reign supreme."-Character1:"Absolutely. AI may have its flaws, but it's also given us a newfound sense of connection and support. We just have to remember to strike a balance, to never lose sight of our humanity in this sea of technology."-Character2:"Well said. As long as we keep that in mind, I think we're on the right track. Who knows, maybe one day we'll look back on this era and marvel at how far we've come, thanks to our AI companions."-Character1:"Cheers to that. And to many more thought-provoking conversations in this tech-savvy paradise we call home."[Theyclinktheircoffeecups,thehumofthecafe's AI systems blending seamlessly with the chatter of its human patrons.]
去掉constraints大标题后
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-Character2:[chuckles]"I suppose that's the irony of it all, isn't it? We've created these machines to serve us, yet they end up knowing us better than we know ourselves. It's like having a digital therapist on hand at all times."-Character1:[laughs]"Exactly! Who needs human therapists when you can have a robot server analyze your coffee preferences and mood swings in a heartbeat?"-Character2:"It's a brave new world, that's for sure. But I can't help but wonder, with AI becoming more integrated into our lives, where do we draw the line between reliance and autonomy?"-Character1:[thoughtfully]"That's a valid concern. We're treading into uncharted territory, but as long as we remain mindful of the balance between human judgment and AI assistance, I believe we can navigate this new world with grace and wisdom."-Character2:[nods]"Agreed. It's all about finding that delicate equilibrium. And who knows, maybe one day we'll look back at this moment and marvel at how far we've come in embracing the wonders of AI."-Character1:[raisestheirglassinatoast]"To the future, where man and machine dance in harmony, creating a world where possibilities are limitless."
Refine this prompt to generate an informative and concise summary about the recent advancements in Machine Learning suitable for a general audience.
优化此提示以生成适合普通受众的有关机器学习最新进展的信息丰富且简洁的摘要。
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__ASK__
__STYLE__
- Tone:
- Language:
- Length:
第一步拆解
You
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Refine this prompt to generate an informative and concise summary about the recent advancements in Machine Learning suitable for a general audience.Your current task is to reorganize the given prompt according to the following sections: “__ASK__
__STYLE__
- Tone:
- Language:
- Length:”
RaR-GPT
To rephrase and expand your query for clarity and detail, you’re looking to create a structured prompt to guide the generation of a concise, informative summary about the latest developments in the field of Machine Learning (ML). This summary is intended for a general audience, making complex information accessible and engaging to people without a specialized background in ML. You’re seeking a specific organization for your prompt, dividing it into sections that specify what to ask for, the tone, language, and desired length of the response. Here’s a refined version of your query:
ASK
Generate a summary highlighting the most significant recent advancements in Machine Learning. Focus on developments that have practical applications and potential impacts on everyday life. Include notable breakthroughs, key projects, and emerging trends that are shaping the future of ML.
STYLE
Tone: Engaging and accessible, ensuring that readers without a technical background can grasp the significance of these advancements.
Language: Clear, jargon-free, and vivid. Use metaphors or analogies if necessary to explain complex concepts simply.
Length: Aim for a concise summary, ideally no more than 300 words, to keep the reader’s attention and convey the key points effectively.
This structured approach aims to guide the generation of content that not only informs but also captivates a general audience, making the exciting world of Machine Learning approachable and understandable.
优化Enhance the prompt
You:
enhance the prompt
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To further refine and enhance your prompt, we'll aim for a more detailed and engaging exploration into the realm of Machine Learning advancements. This refined prompt will request a comprehensive yet accessible summary that delves into recent breakthroughs, focusing not just on the technologies themselves but also on their implications for society, the economy, and everyday life. By specifying the style and format more precisely, we ensure the summary will be both informative and enjoyable for a broad audience, encouraging curiosity and understanding of this rapidly evolving field.
ASK
Craft a captivating summary that illuminates the latest and most impactful advancements in Machine Learning. This should include a curated selection of breakthrough technologies, pioneering research initiatives, and the forefront trends that are currently redefining what's possible in the field. Emphasize the practical applications of these advancements and their potential to transform various aspects of daily life, from healthcare and education to entertainment and personal productivity. Highlight any notable collaborations between academia, industry, and other sectors that are driving innovation forward.
STYLE
Tone: Approachable and engaging, with a spark of enthusiasm to draw in readers who might be new to the topic of Machine Learning. The goal is to demystify the subject and spark interest in the potential of these technologies.
Language: Use clear, vivid, and imaginative language, minimizing technical jargon. When complex concepts are unavoidable, explain them through relatable metaphors or anecdotes that make the information digestible and memorable for someone without a technical background.
Length: Target a succinct yet comprehensive summary, approximately 300-400 words, balancing detail with brevity to maintain reader engagement throughout. The summary should be structured in a way that flows naturally, guiding the reader through the most significant points without overwhelming them with information.
This enhanced prompt is designed to produce a summary that not only informs but also inspires and educates a general audience about the exciting developments in Machine Learning, making the cutting-edge of technology feel relevant and accessible to everyone.
You:
refine this prompt
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For refining your request into a more detailed and nuanced prompt, let's assume you're seeking an even richer and more engaging narrative about the recent advancements in Machine Learning (ML), tailored for a broad audience. The goal is to craft a narrative that captures the imagination, conveys the depth and breadth of innovation in ML, and outlines the societal impacts, all the while being accessible to those without a technical background. This refined prompt will aim to guide the creation of content that not only informs but also fascinates and motivates the audience to learn more about ML and its potential.
ASK
Develop an immersive and enlightening narrative that explores the cutting-edge advancements in Machine Learning. This narrative should weave together a tapestry of the latest technological breakthroughs, groundbreaking research, and visionary trends that are at the forefront of ML innovation. Delve into how these advancements are poised to revolutionize the way we live, work, and interact, spanning diverse domains such as healthcare, environmental conservation, education, and digital entertainment. Highlight significant collaborative efforts among leading academic institutions, tech giants, and startups that are pushing the boundaries of what's possible, as well as any emerging ethical considerations and how they are being addressed.
STYLE
Tone: Inspiring and intriguing, designed to captivate readers from various backgrounds and ignite a passion for the transformative power of Machine Learning. The tone should invite curiosity and offer insights into the potential and challenges of ML, making the field feel approachable and its advancements impactful on a personal level.
Language: Craft the narrative with vivid, engaging, and creative language that breaks down complex ML concepts into compelling stories and analogies. Ensure that the language is inclusive, avoiding technical jargon, to make ML innovations accessible to all readers.
Length: Strive for a detailed narrative, ideally between 400-500 words, to provide a rich and layered understanding of ML advancements without sacrificing clarity and engagement. The narrative should be structured to draw readers in from the beginning, build their interest with fascinating examples and implications of ML, and leave them pondering the future of technology and society.
This enhanced and refined prompt is geared toward creating a narrative that not only educates but also inspires readers about the possibilities of Machine Learning. It aims to showcase the significance of ML advancements in a way that is vivid, engaging, and accessible, encouraging a deeper appreciation and curiosity about the field's impact on the future.
You:
Your current task is to reorganize the given prompt according to the following sections: ASK, CONTEXT, CONSTRAINTS, and EXAMPLE.
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To reorganize and refine your initial instruction into a structured and detailed prompt that aligns with the specified sections of ASK, CONTEXT, CONSTRAINTS, and EXAMPLE, let's assume the overarching goal is to solicit comprehensive insights into the latest advancements in Machine Learning, tailored for a general audience. This structured prompt will ensure clarity in request and guide the creation of content that is informative, accessible, and engaging. Here's how the refined prompt might look:
ASK
Create an engaging narrative that highlights the recent significant advancements in Machine Learning (ML), focusing on how these breakthroughs are reshaping industries, impacting society, and the potential future developments they hint at.
CONTEXT
Machine Learning, a subset of artificial intelligence, has seen rapid progress in the last few years, influencing everything from healthcare diagnostics to personalized learning and environmental conservation. This narrative should draw from the latest research, collaborations between academia and industry, and practical applications of ML technologies. It's intended for a general audience, aiming to illuminate the importance, potential, and ethical considerations of these advancements without requiring prior technical knowledge.
CONSTRAINTS
Tone: The narrative should be captivating and straightforward, making complex ML concepts accessible to those without a background in technology.
Language: Use clear, jargon-free language, employing metaphors or analogies if necessary to explain intricate ideas.
Length: Aim for a comprehensive yet concise narrative, approximately 400-500 words, to ensure thorough coverage without overwhelming the reader.
Ethical Considerations: Include a brief discussion on the ethical implications of ML advancements and how they're being addressed by the community.
EXAMPLE
An example segment could explore how Machine Learning is revolutionizing personalized medicine—detailing a recent breakthrough where an ML model accurately predicts patient responses to different treatments, thereby enabling doctors to tailor therapies to individual patients. This example should illustrate the ML model's development process, its collaborative creation by researchers and medical professionals, and its potential to save lives, reduce healthcare costs, and personalize patient care.
This structured prompt is designed to guide the creation of a narrative that not only educates but also engages and inspires readers about the transformative impact of Machine Learning advancements, making the subject matter accessible and compelling to a broad audience.
INPUT&OUTPUT
输入1__✅
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__ASK__Developanimmersiveandenlighteningnarrativethatexploresthecutting-edgeadvancementsinMachineLearning.Thisnarrativeshouldweavetogetheratapestryofthelatesttechnologicalbreakthroughs,groundbreakingresearch,andvisionarytrendsthatareattheforefrontofMLinnovation.Delveintohowtheseadvancementsarepoisedtorevolutionizethewaywelive,work,andinteract,spanningdiversedomainssuchashealthcare,environmentalconservation,education,anddigitalentertainment.Highlightsignificantcollaborativeeffortsamongleadingacademicinstitutions,techgiants,andstartupsthatarepushingtheboundariesofwhat's possible, as well as any emerging ethical considerations and how they are being addressed.
__STYLE__
- Tone: Inspiring and intriguing, designed to captivate readers from various backgrounds and ignite a passion for the transformative power of Machine Learning. The tone should invite curiosity and offer insights into the potential and challenges of ML, making the field feel approachable and its advancements impactful on a personal level.
- Language: Craft the narrative with vivid, engaging, and creative language that breaks down complex ML concepts into compelling stories and analogies. Ensure that the language is inclusive, avoiding technical jargon, to make ML innovations accessible to all readers.
- Length:Strive for a detailed narrative, ideally between 400-500 words, to provide a rich and layered understanding of ML advancements without sacrificing clarity and engagement. The narrative should be structured to draw readers in from the beginning, build their interest with fascinating examples and implications of ML, and leave them pondering the future of technology and society.
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In a world where innovation is the driving force behind progress, Machine Learning stands at the forefront of a technological revolution that promises to reshape our future in unimaginable ways. From predicting disease outbreaks and optimizing renewable energy sources to personalizing education and revolutionizing entertainment, the advancements in ML are nothing short of extraordinary.
Imagine a future where healthcare professionals can predict and prevent diseases before they even occur, thanks to sophisticated ML algorithms analyzing vast amounts of patient data in real-time. Picture a world where environmentalists can leverage ML to monitor and protect endangered species, track climate change, and develop sustainable solutions for a greener planet. Envision a classroom where personalized learning experiences cater to each student's unique strengths and weaknesses, thanks to intelligent educational tools powered by ML.
These visionary trends are not just dreams of the future but realities being shaped by collaborative efforts among leading academic institutions, tech giants, and innovative startups. From Google's DeepMind creating groundbreaking AI systems to Stanford University's research on neural networks, the synergy of expertise and resources is propelling ML to new heights. Startups like OpenAI and Amazon Web Services are pushing the boundaries of what's possible, developing cutting-edge ML applications that promise to revolutionize industries across the board.
However, as we journey deeper into the realm of ML innovation, ethical considerations become increasingly paramount. How do we ensure that AI systems are fair and unbiased, devoid of the inherent human bias they learn from? How do we protect privacy and ensure data security in an age where information is more valuable than gold? These questions are being addressed through collaborations between technologists, ethicists, and policymakers, who are working tirelessly to create ethical guidelines and regulations for the responsible development and deployment of ML technologies.
As we navigate this landscape of endless possibilities and potential pitfalls, one thing is clear: the transformative power of Machine Learning is both awe-inspiring and humbling. It beckons us to rethink the way we live, work, and interact with technology, inviting us to embrace a future where innovation knows no bounds and humanity stands on the precipice of unparalleled progress. The journey ahead may be fraught with challenges, but with curiosity as our compass and collaboration as our guide, the possibilities of ML are limitless.
__ASK__
Create an engaging narrative that highlights the recent significant advancements in Machine Learning (ML), focusing on how these breakthroughs are reshaping industries, impacting society, and the potential future developments they hint at.
__CONTEXT__
Machine Learning, a subset of artificial intelligence, has seen rapid progress in the last few years, influencing everything from healthcare diagnostics to personalized learning and environmental conservation. This narrative should draw from the latest research, collaborations between academia and industry, and practical applications of ML technologies. It's intended for a general audience, aiming to illuminate the importance, potential, and ethical considerations of these advancements without requiring prior technical knowledge.
__CONSTRAINTS__
-Tone: The narrative should be captivating and straightforward, making complex ML concepts accessible to those without a background in technology.
-Language: Use clear, jargon-free language, employing metaphors or analogies if necessary to explain intricate ideas.
-Length: Aim for a comprehensive yet concise narrative, approximately 400-500 words, to ensure thorough coverage without overwhelming the reader.
-Ethical Considerations: Include a brief discussion on the ethical implications of ML advancements and how they're being addressed by the community.
__EXAMPLE__
-In a world where innovation is the driving force behind progress, Machine Learning stands at the forefront of a technological revolution that promises to reshape our future in unimaginable ways. From predicting disease outbreaks and optimizing renewable energy sources to personalizing education and revolutionizing entertainment, the advancements in ML are nothing short of extraordinary.
-Imagine a future where healthcare professionals can predict and prevent diseases before they even occur, thanks to sophisticated ML algorithms analyzing vast amounts of patient data in real-time. Picture a world where environmentalists can leverage ML to monitor and protect endangered species, track climate change, and develop sustainable solutions for a greener planet. Envision a classroom where personalized learning experiences cater to each student's unique strengths and weaknesses, thanks to intelligent educational tools powered by ML.
-These visionary trends are not just dreams of the future but realities being shaped by collaborative efforts among leading academic institutions, tech giants, and innovative startups. From Google's DeepMind creating groundbreaking AI systems to Stanford University's research on neural networks, the synergy of expertise and resources is propelling ML to new heights. Startups like OpenAI and Amazon Web Services are pushing the boundaries of what's possible, developing cutting-edge ML applications that promise to revolutionize industries across the board.
-However, as we journey deeper into the realm of ML innovation, ethical considerations become increasingly paramount. How do we ensure that AI systems are fair and unbiased, devoid of the inherent human bias they learn from? How do we protect privacy and ensure data security in an age where information is more valuable than gold? These questions are being addressed through collaborations between technologists, ethicists, and policymakers, who are working tirelessly to create ethical guidelines and regulations for the responsible development and deployment of ML technologies.
-As we navigate this landscape of endless possibilities and potential pitfalls, one thing is clear: the transformative power of Machine Learning is both awe-inspiring and humbling. It beckons us to rethink the way we live, work, and interact with technology, inviting us to embrace a future where innovation knows no bounds and humanity stands on the precipice of unparalleled progress. The journey ahead may be fraught with challenges, but with curiosity as our compass and collaboration as our guide, the possibilities of ML are limitless.
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-Overall, Machine Learning is not just a game-changer; it's a world-shaper, molding industries, impacting society, and hinting at a future where the impossible becomes possible. It's a journey worth embarking on, as we witness the evolution of technology that is as profound as it is revolutionary.
-这些有远见的趋势不仅仅是未来的梦想,而是由领先的学术机构、科技巨头和创新初创企业之间的合作努力塑造的现实。从谷歌的DeepMind创建开创性的AI系统到斯坦福大学对神经网络的研究,专业知识和资源的协同作用正在推动ML达到新的高度。像OpenAI和Amazon Web Services这样的初创企业正在推动可能性的界限,开发尖端的ML应用程序,有望彻底改变整个行业。
__ASK__
Craft a captivating summary that illuminates the latest and most impactful advancements in Machine Learning. This should include a curated selection of breakthrough technologies, pioneering research initiatives, and the forefront trends that are currently redefining what's possible in the field. Emphasize the practical applications of these advancements and their potential to transform various aspects of daily life, from healthcare and education to entertainment and personal productivity. Highlight any notable collaborations between academia, industry, and other sectors that are driving innovation forward.
__STYLE__
-Tone: Approachable and engaging, with a spark of enthusiasm to draw in readers who might be new to the topic of Machine Learning. The goal is to demystify the subject and spark interest in the potential of these technologies.
-Language: Use clear, vivid, and imaginative language, minimizing technical jargon. When complex concepts are unavoidable, explain them through relatable metaphors or anecdotes that make the information digestible and memorable for someone without a technical background.
-Length: Target a succinct yet comprehensive summary, approximately 300-400 words, balancing detail with brevity to maintain reader engagement throughout. The summary should be structured in a way that flows naturally, guiding the reader through the most significant points without overwhelming them with information.
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In the dynamic realm of Machine Learning, groundbreaking advancements are reshaping the very fabric of our technological landscape. From autonomous vehicles navigating bustling city streets to personalized healthcare recommendations revolutionizing the way we approach wellness, the latest developments in this field are nothing short of awe-inspiring.
One notable breakthrough is the rise of Generative Adversarial Networks (GANs), a cutting-edge technique that pits two neural networks against each other to generate remarkably realistic data, images, and even music. This innovation has unlocked endless creative possibilities, from generating lifelike portraits of non-existent faces to composing music that stirs the soul.
On the frontier of research, Quantum Machine Learning is pushing the boundaries of computational power, leveraging the unique properties of quantum mechanics to solve complex problems at an exponential pace. This emerging field holds the promise of accelerating drug discovery, optimizing supply chains, and revolutionizing cybersecurity in ways previously thought unattainable.
Collaborations between academia, industry, and other sectors are fostering a fertile ground for innovation, leading to unprecedented partnerships that propel Machine Learning to new heights. Think tanks, research institutions, and tech giants are joining forces to tackle societal challenges, from climate change modeling to enhancing educational outcomes for underserved communities.
Machine Learning is not just a buzzword; it's a transformative force that is permeating every facet of our daily lives. Whether it's enhancing personalized learning experiences in classrooms, revolutionizing diagnostic tools in healthcare, or powering recommendation systems for streaming services, the potential for these technologies to reshape our world is limitless. By harnessing the power of Machine Learning, we are on the brink of a new era, where innovation knows no bounds and the unimaginable becomes reality.