This Will Make You Better than 99% ChatGPT Users | Summary and Q&A
TL;DR
Learn five fundamental prompting techniques for better results in using AI models like GPT.
Key Insights
- 🔍 The size of the prompt is crucial in generating effective results with ChaiGPT. It is important to consider the token limit of 4,000 tokens or approximately 3,000 words to ensure meaningful outputs.
- 💡 Providing clear instructions in the prompt can enhance the quality of the generated content. Adding details like a TLDR summary, personal identifiable information, or adjectives before the requested text can yield better results.
- 🔑 Assigning a role to AI, such as a doctor or lawyer, and requesting responses based on that role can be an effective prompting technique. An extensive list of roles can be found to test this approach.
- 🗒️ Utilizing a Q&A format as a standard prompt can provide more information and target specific answers from AI. Research papers often use this format to glean desired insights.
- 🔗 Chain of Thought prompting can improve AI's problem-solving capabilities. Presenting an example of a complex problem, explaining its solution, and then posing a similar but complex question can lead to more accurate results.
- ⚙️ Zero-shot Chain of Thought prompting involves providing an outline or step-by-step instructions for AI to process reasoning in a more accurate manner. This method is particularly effective for tasks involving arithmetic, common sense, and symbolic reasoning.
- 🔎 Criticize Me Mode allows users to challenge AI's generated content and instruct it to criticize itself. By providing feedback, users can refine AI's responses and improve the quality of the generated text.
- 💭 Acting as a harsh critic by providing brutally honest feedback and challenging AI's assumptions or ideas can yield fascinating results. This approach encourages critical thinking and can lead to improved outputs.
- 📺 For more information on Criticize Me Mode and five places where it can be applied professionally, watch the linked video. The video dives deeper into this prompting method and its potential applications.
Transcript
in this video I will show you five research back prompting methods and other hacks later we will combine these techniques with my personal approach which I call criticize me mode this is not a clickbait I'm confident that by implementing this five fundamental techniques you will have better results than 99 of child GPT users and I don't promise thi... Read More
Questions & Answers
Q:
What is the importance of prompt size when using AI models like GPT?
Prompt size is crucial when using AI models as it affects the response generated. If the prompt is too long, the resulting response may be cut short due to token limitations, resulting in incomplete or inadequate information.
Q:
How can instructions be included in prompts?
Instructions can be added to prompts in various ways. One example is including a TLDR (short summary) after the text to provide a concise overview. Personal identifiable information can also be included to guide the AI's response, which is especially useful for those in sales or email marketing.
Q:
What is Chain of Thought prompting?
Chain of Thought prompting involves providing an example of a complex problem and instructing the AI to self-explain how it would solve it. This method enables the AI to apply the same reasoning to a similar but different problem, leading to more effective results compared to a standard prompt.
Q:
What is the purpose of "Criticize Me" mode?
"Criticize Me" mode allows users to challenge the AI's generated ideas by instructing it to act as a critic. This method helps in refining and improving AI-generated titles or content by soliciting feedback and revisions from the AI itself.
Summary & Key Takeaways
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Prompt Size: It is important to consider the size of your prompt as excessively long prompts can limit the response generated by AI models.
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Providing Instructions: Instructions can be added to prompts, such as including a TLDR (short summary) or specifying personal identifiable information.
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Prompting Techniques: Techniques like assigning a role to AI, using a Q&A format, Chain of Thought prompting, and implementing "Criticize Me" mode can improve AI performance.