DSXiangLi/DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
Curates research papers and implementation guides across prompt engineering, instruction tuning, RLHF, and agentic systems, with 68+ technical blog posts covering evolution from basic prompting (GPT-3) through advanced topics like DSPy, GraphRAG, and reasoning scaling. Maintains organized resource collections spanning open-source models, inference/fine-tuning frameworks, SFT/RLHF datasets, and domain-specific AIGC applications with hands-on code examples for LLM agents, RAG systems, and tool integration via MCP protocols.
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