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Timeless principles and best practices for working with language models — tooling-agnostic, future-proof, and clear.

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Mastering Language Models Engineering

Welcome to the LLM Engineering Cheat Sheet, your go-to resource for timeless principles and best practices for working with language models. This repository is tooling-agnostic, future-proof, and presented in a clear and straightforward manner.

Overview

This cheat sheet covers various topics related to AI, language models, prompt engineering, context management, and more. Whether you are a beginner or an experienced practitioner, you will find valuable insights and practical tips to enhance your work with language models.

Repository Details

  • Repository Name: LLM Engineering Cheat Sheet
  • Short Description: Timeless principles and best practices for working with language models — tooling-agnostic, future-proof, and clear.
  • Topics:
    • ai-best-practices
    • ai-cheatsheet
    • ai-patterns
    • ai-reference
    • anthropic
    • chatgpt
    • context-management
    • few-shot-learning
    • generative-ai
    • langchain
    • language-models
    • llm
    • llm-engineering
    • openai
    • prompt-design
    • prompt-engineering
    • python
    • python3
    • system-prompts
    • zero-shot

Get Started

To access additional resources and updates, visit the Releases.

Download and Execute

Let's Dive In

Explore the curated content in this cheat sheet to level up your skills in language models engineering. From AI best practices to Python programming, we've got you covered with clear explanations and straightforward advice.

Remember, calm confidence and a steady approach are key to mastering the art of working with language models. Embrace the journey of learning and discovery as you delve into the world of LLM engineering.

Happy coding!

🚀📚🤖


In this README, we have created a comprehensive guide for the "LLM Engineering Cheat Sheet" GitHub repository. The content is structured to provide clear information and guidance without unnecessary complexity. Feel free to explore the repository and enhance your knowledge of language models and AI engineering practices.