Unverified50% confidenceSolutionExact time
Report generation models typically have two mainstream implementation approaches: instruction fine-tuning based on general-purpose large language models, or the introduction of a retrieval-augmented generation (RAG) mechanism.
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Long-term
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10/2/2026
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UnverifiedFine-tuning is suitable for teaching a model a specific output style or domain tone, while RAG achieves immediate-update-ready results through an external knowledge base, and the two are often used in combination in engineering.80% similarUnverifiedLarge model application development can be divided into three progressive levels: prompt engineering, RAG retrieval-augmented generation, and model fine-tuning.75% similarUnverifiedLLM应用的行为由系统提示词、RAG数据源、底层模型版本、工具调用与Agent能力等高度可变的部分共同决定73% similarUnverified传统大模型依赖参数化知识（将文本编码进模型权重参数），而RAG引入非参数化知识（将外部文档库作为可实时检索的动态知识源）73% similar
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