The Ultimate Guide to Prompt Engineering

Michael Taylor every.to

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The content covers prompt engineering for large language models, including techniques, output configurations, and best practices to optimize prompts for various tasks while enhancing model performance and response accuracy.

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Google published a 69-page whitepaper on Prompt Engineering and its best practices, a must-read if you are using LLMs in production: > zero-shot, one-shot, few-shot > system prompting > chain-of-thought (CoT) > ReAct > code prompting > best practices https://t.co/T69mATqewk

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