I Discovered The Perfect ChatGPT Prompt Formula
TLDRThis video reveals a highly effective formula for crafting prompts to maximize the output quality from AI tools like ChatGPT, Bard, and Bing. The presenter, after extensive research and testing, shares a step-by-step guide comprising seven best practices for prompt engineering. The formula combines context, specific information, intent, and desired response format to create the 'perfect prompt.' By applying this method, users can achieve better, more relevant results without excessive back-and-forth revisions. The video also teases an upcoming tutorial on 'prompt priming' and an AI-focused learning platform.
Takeaways
- 😀 Using a well-crafted prompt with ChatGPT, Bard, or Bing can save significant time and improve results.
- 📝 The perfect prompt formula comes from extensive research, testing, and learning about prompt engineering techniques.
- 🔍 Being specific in your prompt improves the relevance and quality of the response.
- 📋 Stating your intent clearly helps the AI tailor its output to your specific needs and context.
- ✍️ Correct spelling and grammar are essential for ensuring the model understands your request properly.
- 🛠️ Directing the output format (e.g., steps, paragraph) helps the AI generate the response in the desired structure.
- ❓ Following up with clarifying questions can improve the output, even with a perfect prompt.
- 💡 Experimenting with phrasing can help when the model doesn’t understand your initial request.
- ✅ Fact-checking the AI’s output with a follow-up prompt ensures higher accuracy in the response.
- 🔑 The formula for a perfect prompt: Context + Specific Information + Intent + Desired Response Format = Better Results.
Q & A
What is the benefit of using a 'perfect prompt' when interacting with AI platforms like ChatGPT or Bard?
-Using a 'perfect prompt' helps you get more accurate and relevant responses, reducing the need for multiple revisions and saving time.
How long has the speaker studied prompt engineering?
-The speaker has studied prompt engineering for three to four hours a day since GPT-3 was released.
What is the first best practice mentioned for crafting an effective prompt?
-The first best practice is to be specific and provide as much detail as possible in your prompt.
Why is stating your intent important in a prompt?
-Stating your intent helps tailor the output to your specific needs, ensuring that the response is more relevant to your situation.
What role does correct spelling and grammar play in generating effective prompts?
-Correct spelling and grammar help avoid misinterpretation and ensure that the model can better understand and respond to your prompt.
How should you direct the output format of a prompt?
-You should specify how you want the output, such as requesting a step-by-step guide or a paragraph to get responses in your preferred format.
What should you do if you don’t get the result you're looking for from a prompt?
-If the result isn’t satisfactory, experiment with different phrasing or adjust the structure of the prompt.
What is the purpose of a 'fact-checking prompt'?
-A fact-checking prompt is used to ensure the accuracy of the information provided by the AI model by asking it to verify or recheck its output.
What is the 'perfect prompt formula' shared in the video?
-The perfect prompt formula is: Context + Specific Information + Your Intent + Desired Response Format = The Perfect Prompt.
How can the perfect prompt formula be applied in a real-life example?
-For example, if you are a beginner cook trying to make Italian cuisine, your prompt could be: 'I'm a beginner cook trying to make Italian cuisine. Could you provide me with a simple, easy-to-follow recipe in numbered order from 1 to 10?'
Outlines
💡 The Importance of Crafting the Perfect Prompt
The speaker emphasizes the significance of using a well-crafted prompt when interacting with AI models like ChatGPT, Bard, or Bing. They share that after dedicating significant time to studying prompt engineering, they've developed a formula for creating effective prompts that save time and yield better results. Most users stay at a basic level, simply asking questions, but by following specific guidelines, users can optimize their AI interactions to achieve the desired output without excessive revisions.
🔑 Seven Best Practices for Effective Prompt Engineering
The speaker outlines seven key practices to craft effective prompts: (1) Be specific in your request to get relevant results, (2) State your intent clearly to tailor the output, (3) Use proper spelling and grammar to avoid misinterpretations, (4) Direct the format of the output (e.g., list or paragraph), (5) Follow up with clarifying questions, (6) Experiment with phrasing if the result isn't ideal, and (7) Use fact-checking prompts to ensure accuracy. Following these steps will improve the quality of AI responses.
🧑🍳 The Perfect Prompt Formula: Example for Cooking
The speaker introduces their 'perfect prompt' formula, which includes context, specific information, intent, and response format. They provide an example for a cooking scenario, where the user is a beginner cook seeking an Italian recipe. By specifying that they want a simple, easy-to-follow recipe presented in a numbered list, the prompt becomes more precise, leading to better results. The speaker encourages users to adopt this formula for efficient interactions with AI.
👨💻 The Perfect Prompt Formula: Example for Coding
Another example of the 'perfect prompt' formula is presented, this time for a software developer. The developer, working on a Python project, asks for a simple explanation of exception handling. By following the formula, including the desired output format (a simple paragraph), the developer is likely to receive a concise and helpful response. The speaker reiterates that this formula can be applied across various AI platforms like ChatGPT, Bard, and Bing.
📚 Future Learning Opportunities and AI Priming
The speaker teases future content, including a technique called 'prompt priming,' where users set up a context before asking questions to get better results from AI. They mention that more resources, like an in-depth learning platform for AI, are in development to help users stay updated with the latest tools and techniques. The speaker invites viewers to sign up for these upcoming offerings and concludes the video.
Mindmap
Keywords
💡Specific
💡Intent
💡Spelling and Grammar
💡Output Format
💡Follow-up Questions
💡Experiment with Phrasing
💡Fact-checking
💡Context
💡Prompt Formula
💡Prompt Priming
Highlights
Using the perfect prompt will save you time and improve the results when using AI tools like ChatGPT, Bard, or Bing.
The speaker has studied prompt engineering for three to four hours a day since GPT-3 was released, testing many approaches.
A well-crafted prompt can lead to better, more accurate results without requiring multiple revisions.
The perfect prompt formula is based on seven best practices that make the process more effective.
Step 1: Be specific in your prompts, as more detail leads to more relevant answers.
Step 2: State your intent clearly so that the AI can tailor its response to your purpose.
Step 3: Use correct spelling and grammar, as small mistakes can confuse the AI.
Step 4: Direct the output format, specifying how you'd like the response (e.g., steps, paragraphs).
Step 5: Follow up with clarifying questions if the response isn’t exactly what you expected.
Step 6: Experiment with different phrasing if the initial response isn’t satisfactory.
Step 7: Perform a fact-checking prompt to verify the AI's output if needed.
The perfect prompt formula: Context + Specific Information + Intent + Desired Output Format = Better Results.
Example: 'I'm a beginner cook trying to make Italian cuisine. Can you provide me a simple and easy-to-follow recipe in numbered steps from 1 to 10?'
Example: 'I'm a software developer working on a Python project. Can you explain how to implement exception handling in Python in a simple paragraph?'
This formula works across multiple AI platforms, including ChatGPT, Bard, and Bing.