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    1. Home
    2. Machine Learning & Ai
    3. Awesome Prompt Engineering

    Awesome Prompt Engineering

    A curated collection of resources, tools, papers, and platforms for prompt engineering in large language models and generative AI, covering GPT, ChatGPT, Claude, and other LLMs.

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    Information

    Websitegithub.com
    PublishedMar 11, 2026

    Categories

    1 Item
    Machine Learning & Ai

    Tags

    3 Items
    #llm#prompt-engineering#chatgpt

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    Awesome LLM Prompt Optimization

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    A guide to prompt engineering patterns and techniques for better LLM results.

    Awesome Context Engineering

    Comprehensive survey on Context Engineering covering everything from prompt engineering to production-grade AI systems, including hundreds of papers, frameworks, and implementation guides for LLMs and AI agents in 2026.

    Awesome GPT Prompt Engineering

    Comprehensive collection of prompt engineering resources, techniques, and tools for working with GPT and other large language models, including prompt libraries, best practices, and community resources.

    Awesome LLMOps

    A curated collection of tools, frameworks, platforms, and best practices for operationalizing Large Language Models, covering deployment, monitoring, evaluation, and production workflows.

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    Awesome LangChain

    A curated collection of tools, projects, tutorials, and resources for LangChain, the popular framework for developing applications powered by large language models through composable components.

    Overview

    Awesome Prompt Engineering is a comprehensive repository containing hand-curated resources for mastering the art and science of prompt engineering with large language models. The list focuses on Generative Pre-trained Transformers (GPT), ChatGPT, Claude, and other modern LLMs.

    Key Resources

    • Fundamentals: Guides covering prompt design principles, meta-prompting, and context engineering
    • Advanced Techniques: Chain-of-thought prompting, few-shot learning, retrieval-augmented generation (RAG)
    • Tools and Platforms: Prompt optimization tools, testing frameworks, and management systems
    • Research Papers: Academic papers on prompt optimization, evaluation, and tuning methods
    • Community Resources: Learn Prompting community with 40,000+ members, courses, and hackathons
    • Security: Coverage of prompt injection, jailbreaking, and defensive techniques
    • Agent Frameworks: DSPy, LangGraph, and other frameworks for building AI agents

    Featured Topics

    • Google Prompting Essentials covering 5-step prompt design
    • GPT-5 and latest model capabilities
    • System prompts and instruction tuning
    • Multi-modal prompting for vision and audio
    • Automatic prompt optimization
    • HackAPrompt competitions and challenges

    Practical Applications

    The repository includes real-world examples for code generation, content creation, data analysis, customer support automation, and more.

    Languages Supported

    Available in 13 languages, making it accessible to a global audience of practitioners and researchers.