Master the Perfect ChatGPT Prompt Formula (in just 8 minutes)! - YouTube

I don't usually over-hide myself, but in this video, we're going over the only formula you will ever need to master prompting on chatgbt and google bard. So let's get started. Hey friends, welcome back to channel. If you're new here, my name is Jeff, I work full of time in tech, and if you're anything like me a couple months ago, you know prompting is an important skill to learn, but you're not exactly sure why some prompts generate outputs that are super generic, while others give you precisely what you're looking for. Since then, I've spent hundreds of hours taking prompt engineering courses and applying what I've learned in my daily life. And so in this video, I'm sharing the six building blocks that make up a good prompt so that you can use this formula to consistently generate high quality outputs. First, it's critical to not only know what the six components are, task, context, exemplars, persona, format and tone, but also know that there's an order of importance to these six components.

我通常不会过度隐藏自己，但在这个视频中，我们将讨论你在ChatGPT和Google BART中掌握提示的唯一公式。让我们开始吧。嘿朋友们，欢迎回到频道。如果你是第一次来这里，我的名字是杰夫，我全职从事技术工作，如果你和我几个月前一样，你会知道提示是一个重要的技能，但你可能并不确定为什么一些提示生成的输出非常通用，而另一些却能精确地给你你要找的东西。从那时起，我花了数百小时参加提示工程课程，并将学到的知识应用到我的日常生活中。所以在这个视频中，我分享了构成一个好提示的六个基本要素，这样你就可以使用这个公式来持续生成高质量的输出。首先，重要的不仅是知道这六个要素是什么，任务、语境、示例、人设、格式和语气，还要知道这六个要素的重要性顺序。

To show you what I mean, let's use this simple example. I'm a 70 kg male, give me a three month training program. The first part is context followed by the task. The reason why the task is higher up in the formula hierarchy is if we just input the task without the context, there's still some sort of meaningful output. But if we just give chat to BTD context, nothing really happens. Put another way, it's mandatory to have a task in your prompt. It's important to include relevant context and exemplars, and it's nice to have persona, format and tone. When you think of writing your prompt, go down this mental checklist.

为了让你明白我的意思，让我们用这个简单的例子来说明。我是一个70公斤的男性，请给我制定一个为期三个月的训练计划。这个例子由背景部分和任务部分组成。任务部分位于公式层次结构的较高位置的原因是，如果我们只输入任务而没有背景，仍会得到某种有意义的输出。但如果只提供背景没有任务，什么都不会发生。换句话说，在你的提示中必须包括一个任务。重要的是要包括相关的背景和示例，最好也包括人物、格式和语气。在构思你的提示时，可以遵循这个心理清单。

So this formula will act as a consular reminder for you to include just enough relevant information when writing prompts. And as you'll see in this next part, you do not need all six components in every prompt to have a good output. Now let's break down each building block with specific examples starting with the task. The rule of thumb is to always start the task sentence with an action verb, generate, give, write, analyze, etc. And clearly articulate what your end goal is. It could be one simple task like generating a three month training program or a complex three step task like analyzing hundreds of user feedback, sharing the top three takeaways and categorizing the feedback based on the team responsible for following up.

因此，这个公式将作为一个领事提醒，让你在撰写提示时包括足够相关的信息。正如你将在接下来的部分中看到的，你不需要在每个提示中都包含所有六个组成部分才能得到良好的输出。现在让我们从具体示例开始分解每个构建块，以任务开始。经验法则是始终用动作动词开头的任务句，比如生成、给予、写、分析等等，并清晰表达你的最终目标是什么。它可以是一个简单的任务，比如生成一个为期三个月的培训计划，也可以是一个复杂的三步任务，比如分析数百条用户反馈，分享前三个要点，并根据负责跟进的团队对反馈进行分类。

The second component context is the trickiest to get right because technically there's an infinite amount of information you can give. So I found asking myself these three questions to be super helpful in coming up with just enough information to get a good result from chat JBT. First, what's the user's background? Second, what does success look like? And third, what environment are they in? Back to the workout example we now have. I'm a 70 kg male looking to put on five kilograms of muscle mass over the next three months. I only have time to go to the gym twice a week and for one hour each session. Give me a three month training program to follow. Could I have added more background information? Of course. Only prioritize the muscle groups that make me look good at Instagram. But the key to staying productive with chat JBT and Bard is giving just enough information to constrain the endless possibilities.

第二个组件——背景信息，是最容易出错的，因为从技术上讲，你可以提供无限的信息。所以我发现问自己这三个问题对我来说非常有帮助，可以提供足够的信息，从而得到Chat JBT的好结果。首先，用户的背景是什么？第二，成功看起来是什么样的？第三，他们处于什么环境中？回到健身的例子，我是一个体重70公斤的男性，希望在接下来的三个月内增加五公斤的肌肉质量。我每周只有两次去健身房的时间，每次一小时。给我一个三个月的训练计划。我可以添加更多的背景信息吗？当然可以。只有优先考虑让我在Instagram上看起来好看的肌肉群。但是保持与Chat JBT和Bard的高效沟通的关键在于提供足够的信息来限制无尽的可能性。

By the way, although this video is not sponsored, it is supported by those of you who subscribe to my paid Pong TV newsletter on Google workspace tips. Link in the description to learn more. Moving over to the exemplars component. It's just a fancy way of saying examples. Basically all the research on large language models, LLMs, have shown that including examples within the prompt drastically improves the quality of the output. Starting with a simple example, this is a poorly written bullet point from a resume. We can now ask chat JBT to rewrite this bullet point using this structure. I accomplish X by the measure Y that resulted in Z which is actually best practiced by the way. So actually do this in your resume.

顺便说一句，虽然这个视频没有赞助，但是得到了那些订阅我的付费Pong TV通讯的Google workspace技巧的人的支持。点击描述中的链接了解更多信息。现在转到实例组件。这只是说示例的一种花哨的方式。基本上，所有关于大型语言模型（LLMs）的研究都显示，包含示例在提示中会极大地提高输出的质量。从一个简单的例子开始，这是一份简历上写得不好的要点。现在我们可以要求聊天机器人JBT使用这种结构重新写这个要点。我通过度量Y实现了X，结果是Z，这实际上是最佳实践。所以实际上在你的简历中这样做。

For example, I lowered hospital mortality rate by 10% by educating nurses in new protocols which translates to 200 lives saved per year. Here's a slightly more complicated example for interview prep. Based on my own resume, write me an answer to the interview question, what's your biggest weakness? Use the star answer framework, situation, task, action and results. Here instead of using a full blown interview answer as an example, which would be overkill, the star framework acts as an example structure for chat JBT to follow.

例如，通过教育护士新的工作流程，我成功将医院死亡率降低了10%，这意味着每年可以挽救200条生命。以下是一个稍微复杂一点的例子，可以用于面试准备。根据我的简历，给我写一个回答面试问题“你最大的弱点是什么？”的答案。运用STAR答案框架，即情境（Situation）、任务（Task）、行动（Action）和结果（Results）。这里，不需要使用一个完整的面试答案作为例子，太夸张了，STAR框架可以作为JBT聊天遵循的例子结构。

Last example, let's say you need to write a job description. You give some context around the opening and ask chat JBT to reference an existing job description. If I use this one I found on LinkedIn, the output will follow the same formatting and use the same professional HRE language, saving me a bunch of time. Main takeaway here, exemplars are not necessary for every prompt, but including a relevant example or framework will greatly improve the quality of your output.

最后一个例子，假设你需要编写一个职位描述。你可以提供一些关于该职位的背景信息，并要求聊天机器人参考现有的职位描述。如果我使用在LinkedIn上找到的这个例子，生成的内容将遵循相同的格式并使用同样专业的人力资源语言，帮我节省了大量时间。最重要的是，举例不是每个提示都必要的，但是包含一个相关的例子或框架将极大地提高你的输出质量。

Moving along, the persona component is basically who you want chat JBT and bar to be. And the pro tip here is to think of someone you wish you had instant access to with the task you're facing. If you injured yourself working out, that person might be a physical therapist with experience helping athletes recover. If you're a job seeker, that person might be a recruiter or hiring manager. If you're working on a creative brief, that person might be a senior product marketing manager who's great at storytelling.

接下来，人格构成基本上是你希望聊天的JBT和酒吧的人是谁。这里的专业提示是想象一个你希望在面对任务时立即获取帮助的人。如果你在锻炼时受伤了，那个人可能是一位有经验帮助运动员恢复的理疗师。如果你是一名求职者，那个人可能是一位招聘人员或招聘经理。如果你在处理一个创意简报，那个人可能是一位擅长讲故事的资深产品营销经理。

Pro tip, you can also name specific individuals, but I found the results to be good only when they're famous enough, like Warren Buffett, Steve Jobs, Jeff Sue. By the way, just had to share this, we have a team off site with a super hero theme, so I asked chat JBT to draft an email from Batman, and it even included things like, please let Alfred know and sign off as The Dark Knight. So fictional characters work as well, and I'm actually going to use this. The fifth component format, the pro tip here is to literally close your eyes and visualize how exactly you want the end result to look like. A million likes on my third spot Instagram photo. Damn it, didn't work.

专业提示，你也可以提及特定的个人，但我发现只有当他们足够出名时，比如沃伦·巴菲特、史蒂夫·乔布斯、杰夫·苏，结果才会好。顺便说一句，我刚刚必须分享一下，我们团队有一个超级英雄主题的团建，所以我请聊天JBT以蝙蝠侠的名义起草一封邮件，甚至包括像"请让阿尔弗雷德知道"和以"黑暗骑士"签字之类的东西。所以虚构的人物也可以，我确实打算用这个。关于第五部分的格式，这里的专业提示是闭上眼睛，想象清楚你想要的最终结果是什么样子。在我第三个Instagram照片上获得了一百万个赞。该死，没有成功。

Back to the user feedback example, I don't want to read each sentence, so I asked chat JBT to take all the feedback and output a table with three headers. The original feedback, the team is responsible for following up and priority. And now I can copy this directly and paste it into a Google sheet. So prepare and filter by team. Other common formats include emails, bullet points and code blocks, but the one I found to be the most useful as a full-time working professional is paragraphs and markdown. For example, I just received a lengthy industry report from my director. First give me the three key takeaways, then summarize based on topic. Use H2 as section headers. Here is the report. Pro tip, whenever I use chat JBT to proofread any document, I specify that all changes need to be bolded so I can easily see exactly what has been changed.

回到用户反馈的例子，我不想读每一句话，所以我让聊天机器人JBT将所有反馈整理成一个包含三个标题的表格：原始反馈、负责跟进的团队和优先级。现在我可以直接复制粘贴到Google表中。所以准备好按团队进行筛选。其他常见的格式包括电子邮件、项目符号和代码块，但我发现作为全职工作专业人士最有用的是段落和Markdown。例如，我刚刚从我的主管得到了一份冗长的行业报告。首先告诉我三个关键要点，然后根据主题总结。使用H2作为章节标题。这就是报告。专业提示，每当我使用聊天机器人JBT来校对任何文件时，我会指定所有更改都需要加粗，这样我可以轻松看到具体做了什么修改。

Let's quickly go through the last component, tone, before we put all this together in one example. The good news is tone is easy to understand. Use a casual or formal tone of voice. Give me a witty output, show enthusiasm, sound pessimistic. The bad news is we're usually not very good at recalling the thousands of potential adjectives and adverbs at a moment's notice. So here's a pro tip. Tell chat JBT the feeling you're going for. For example, I'm writing an email to a team I haven't worked with before and I want to be taken seriously without coming off as too stuck up and cringy. Can you please give me a list of five tone keywords I can include in a prompt for chat JBT? And look, now the actual prompt I can say, use clear and concise language and write in a friendly yet confident tone. Putting all this together, let's look at this comprehensive prompt. You are a senior product marketing manager at Apple persona and you've just unveiled the latest Apple product in collaboration with Tesla, the Apple car and received 12,000 pre-orders which is 200% higher than target context. Write an email to your boss, Tim Cookie, sharing this positive news, task and format.

让我们在将所有内容整合成一个例子之前，快速浏览一下最后一个部分，音调。好消息是，音调很容易理解。可以使用轻松或正式的口吻。给我一个风趣的输出，展现热情，听起来悲观。坏消息是，我们通常不能很好地在一刹那间回忆起成千上万个可能的形容词和副词。所以这里有一个专业提示。告诉对话JBT你想要的感觉。例如，我正在给一个我以前没合作过的团队写一封电子邮件，我想让他们认真对待我，但又不想显得太自大和尴尬。你能否给我列出五个音调关键词，我可以包含在对话JBT的提示中？现在我可以说的实际提示是，使用清晰简洁的语言，并以友好而自信的口吻写作。将所有这些内容整合在一起，让我们看看这个全面的提示。你是苹果公司的高级产品营销经理人物，刚刚与特斯拉合作推出了最新的苹果产品，苹果汽车，并收到了12,000份预订，比目标高出200％。写封电子邮件给你的老板蒂姆·库克，分享这个积极的消息，任务和格式。

The email should include a TLDR, too long didn't read section, project background, by this product came into existence, business results section, quantifiable business metrics and end with a section thanking the product and engineering teams. Example, structure. Use clear and concise language and write in a confident yet friendly tone. Tone.

邮件应包括一个TLDR，即太长没时间读的部分，项目背景，产品产生背景，业务结果部分，可量化的业务指标，并以感谢产品和工程团队的部分结束。 例如，结构。使用清晰简洁的语言，以自信而友好的语气写作。愿上述内容对您有所帮助。

Note that if I had an existing email to reference, I could delete the instructions around the structure and simply touch at JBT. The email should follow the exact same format as the one I will share below and paste the email from the four. By the way, you can compare the output from this prompt to that of a simpler prompt.

请注意，如果我有一封现有的电子邮件可以参考，我就可以删除关于结构的说明，只需点击 JBT 就可以了。这封电子邮件应该遵循我下面分享的格式，并将第四封电子邮件粘贴在下面。顺便说一句，你可以将这个提示的输出与更简单的提示进行比较。

I just launched a new product, the Apple car. I received 12,000 pre-orders. Please run email to my boss with this update. There's a pretty big difference in terms of how generic and usable the end result is. Now that you know the basics of prompting, my next video is going to take you from beginner to pro, so make sure you're subscribed for that.

我刚刚推出了一款新产品，苹果汽车。我收到了1.2万个预订。请用电子邮件向我的老板汇报这个更新。最终结果的通用性和可用性方面有相当大的差异。现在你已经了解了提示的基础知识，我的下一个视频将把你从初学者带到专业水平，所以一定要订阅哦。

Check out my top five chat GBT productivity tips for work. See you on the next video in the meantime. Have a great one.

查看我的顶级五条聊天GBT工作效率提示。与此同时，请关注下一个视频。祝你一切顺利。