A scalable prompt engineering and optimization framework for building, testing, and documenting high-quality prompts across GPT, Gemini, Claude, and other LLMs.
Step-by-step LangChain tutorials covering models, prompts, chains, retrievers, tools, and agents — theory to full implementation.
A curated collection of design patterns, reference architectures, and practical examples for building AI/ML-driven applications. Covers agent engineering, prompt design, foundational models, generative AI, context engineering, vector databases, and integration with modern cloud & tech stacks.
Production-ready of prompt engineering templates across content, code, RAG, evaluation, safety, L10n, PM, and more.
A comprehensive learning guide for POML (Prompt Markup Language) with templates, examples, and best practices for AI prompt engineering.
Small Go CLI to generate llm context markdown file with files contents.
GitHub Copilotのためのプロンプト集です。「awesome-copilot」リポジトリのプロンプトを日本語翻訳したものになります。
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