The speaker discusses the importance of crafting a perfect prompt when using AI language models like GPT-3, Bard, or Bing. They share a formula consisting of seven best practices: being specific, stating intent, using correct spelling and grammar, directing the output format, following up with questions, experimenting with phrasing, and sometimes using fact-checking prompts. The formula for the perfect prompt is "context + specific information + intent + response format." They provide examples of how to apply this formula for better results. The speaker also mentions a learning platform for AI-related topics and the concept of prompt priming.
Sure, here are the key facts extracted from the text:
1. The author claims to have studied prompt engineering for GPT-3 and other platforms for several hours a day since GPT-3's release.
2. The author suggests that using the right prompt upfront can save a lot of time when using chat GPT, Bard, or Bing.
3. There are seven best practices for crafting effective prompts, including being specific, stating your intent, using correct spelling and grammar, specifying the output format, following up with questions, experimenting with different phrasing, and fact-checking.
4. The author provides a formula for the "perfect prompt," which includes context, specific information, intent, and response format.
5. Two examples of perfect prompts are given, one for requesting an Italian cuisine recipe and another for explaining Python exception handling.
6. The author mentions a learning platform focused on AI and recommends learning about prompt priming before using AI models.
These facts have been numbered for reference.