Unverified50% confidenceFactExact time
Prompting, RAG and fine-tuning are composable: a fine-tuned model can still use prompts, retrieval and tool calls.
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50%
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Long-term
Relevance
10/12/2026
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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.76% similarUnverified三种RAG路线并非互斥，实际工程中可采用混合架构：用向量检索做初步召回，用图谱结构做关系推理，用编译层做知识管理和溯源76% similarUnverifiedThe paper proposes a three-stage MoR-Tuning procedure that progressively guides the model to perform reasonable recursive sparsity on multimodal inputs.74% similarUnverifiedTraditionally, large model memory has mainly relied on three approaches: System Prompts, Retrieval-Augmented Generation (RAG), and Fine-tuning.73% similar
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