Summary

The text provides best practices for using GPT models, emphasizing the importance of providing reference text, breaking down complex tasks into simpler steps, and allowing GPTs time to think before answering. Specific tactics like using examples, instructing the model to reason out solutions, and evaluating outputs with reference text are highlighted to improve model performance and reliability. The strategy is to guide GPTs effectively through clear instructions and thoughtful engagement for better outcomes.

Highlights & Notes

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