mlane/llm-engineering-cheatsheet
Timeless principles and best practices for working with language models - tooling-agnostic, future-proof, and clear.
This guide helps anyone working with AI language models to create better, more reliable outputs. It provides principles for structuring prompts and managing context, taking your raw request and guiding the model to produce clearer, more consistent results. This is for anyone who uses large language models for tasks like summarization, content creation, or data extraction and wants to improve their interactions.
Use this if you want to develop a deeper understanding of how to reliably get useful outputs from AI language models, regardless of which specific model or tool you are using.
Not ideal if you are looking for a quick-start guide or a collection of copy-paste prompts for specific tasks.
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MIT
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Last pushed
Dec 24, 2025
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