Unverified50% confidenceFactExact time
There are mainly two ways to combine one's own business data with foundation models: fine-tuning (continuing to train model parameters with the enterprise's private data to form a dedicated model) and retrieval-augmented generation (RAG) (retrieving relevant content from the enterprise knowledge base at inference time and injecting it into the prompt, with model parameters unchanged).
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10/30/2026
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Unverified微调通过在私有数据上继续训练来更新模型权重，RAG则在不修改模型的前提下通过检索外挂知识库增强回答79% similarUnverified模板对齐能力在技术上依托RAG或Few-shot Learning机制实现，将企业模板作为上下文示例注入模型推理过程78% similarUnverifiedEnterprises can use the outputs of closed-source models to build training datasets, and then transfer large model capabilities to private small models through knowledge distillation.76% 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）75% similarVerifiedFine-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.75% similar
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