Not So Standard Deviations
180 - Lessons from T2
Oct 4, 2023
Improving ChatGPT interactions, lessons from Terminator 2, using GPT for coaching, storing memories for hyper memory, parental influence on movie viewing, limitations and potential of algorithms, programming and machine behavior in Terminator, Arnold Schwarzenegger's voice, GPT's capabilities and ethical dilemmas.
47:35
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Quick takeaways
- Setting context is crucial when providing prompts to GPT, guiding it to generate more suitable discussion topics aligned with the podcast's goals and desired conversation.
- Engaging with the output of GPT in a thoughtful and interactive manner, collaborating with it as a conversational partner, leads to a refined and improved content generation process.
Deep dives
The importance of setting context for prompt engineering
One key insight from the podcast episode is the importance of setting context when providing prompts to GPT. The speaker discusses how their initial prompt lacked sufficient context, leading to unsatisfactory results. They highlight the need to convey the tone, style, and expectations of the podcast to guide GPT in generating more suitable discussion topics. By giving clear instructions and providing specific examples, the output can be improved, ensuring that the topics generated are more aligned with the podcast's goals and desired conversation.
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