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docs: ✏️ enhance content in Large Language Models.md and Openness.md
Updated Large Language Models.md to include new insights on using LLM agents for predictions in markets and improved API request methods. Added a note in Openness.md emphasizing the importance of clear communication when asking for favors, ensuring a more supportive and understanding approach. These changes aim to enrich the content and provide users with practical guidance.
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- Improve existing code (typing, tests, making it async, ...).
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- Write basic CLIs.
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- [Generate structured data from text](https://thecaglereport.com/2023/03/16/nine-chatgpt-tricks-for-knowledge-graph-workers/).
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- Do API request to SQL Semantic Layers (less prone for errors or hallucinating metric definitions)
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- Do API request to SQL Semantic Layers (less prone for errors or hallucinating metric definitions).
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- [Use different LLMs Agents to generate predictions into prediction markets and then spotcheck some of them with humans jurys. Apply evolutionary algorithms to improve the agents performance in prediction markets](https://youtu.be/b81LXpCqunk?t=2677).
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## Cool Prompts for DALLE 3
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- Do stuff in public. Think in public. Write in public. Ship in public. [Doing things publicly attracts like-minded people and opportunities that you wouldn't be able to easily otherwise find](https://www.lesswrong.com/posts/dEAmXSyXnpFFc9wgd/21-on-21).
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- You find what you like by trying it, not by thinking about it.
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- Digital things don't have to be skeuomorphic.
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- When asking for something, go out of your way to make extremely clear (beforehand, not after a person has already answered) that [a no is perfectly fine](https://www.lesswrong.com/posts/GLpFovxZdwXYwmbkJ/failures-in-kindness) and really comes at no risk to the other person.