
The podcast episode discusses OpenAI's prompt engineering guide for ChatGPT, which aims to help users get better results from the AI model. The speakers break down the guide into six core areas, offering bullet points and use cases. They emphasize the importance of clear instructions, specifying output length using sentences or paragraphs, providing reference text, and splitting up complex tasks into smaller steps. The speakers also highlight the need to give the model time to "think" and refine its responses, as well as the value of testing changes systematically. They suggest using external tools and integrating them with ChatGPT for optimal results.
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