DSXiangLi/DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
This project offers a comprehensive guide and curated resources for understanding and implementing advanced techniques in large language models (LLMs). It provides deep dives into prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agent design through a series of detailed articles. Practitioners in AI/ML, researchers, and engineers who are building or optimizing LLM-powered applications will find this resource invaluable for keeping up with the latest advancements.
3,366 stars. Actively maintained with 4 commits in the last 30 days.
Use this if you are an AI/ML practitioner looking to master advanced LLM techniques, understand complex research papers, and apply cutting-edge methods to your projects.
Not ideal if you are new to LLMs and looking for a basic introduction, or if you need readily deployable, off-the-shelf solutions without diving into the underlying theory.
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Feb 24, 2026
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