Unverified50% confidenceFactExact time
Domain knowledge injection is a method that explicitly encodes expert priors into the reasoning chain, distinct from fine-tuning (which changes model weights, is costly, and updates slowly) and RAG (which supplements unstructured external text at inference time).
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10/16/2026
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UnverifiedThere are two technical approaches to vertical-domain knowledge injection: one is injecting domain knowledge at the foundation model level through fine-tuning, which requires large amounts of annotated data and offers low flexibility; the other is keeping the foundation model unchanged and dynamically injecting knowledge at inference time through tool calls, RAG, or structured prompts, which offers higher flexibility but places greater demands on prompt engineering.73% similarVerifiedThe ability of a large model to actively infer design specifications from platform context technically falls under Contextual Reasoning, which internalizes industry common sense from massive amounts of data rather than relying on hard-coded rules.72% similarUnverified知识图谱以工具（tools）形式暴露给前沿模型，而非直接塞进 prompt，使模型可按需多次调用查询71% similarUnverifiedReal-time classifiers are auxiliary neural networks deployed in model inference pipelines, typically built on fine-tuned small language models or BERT-class architectures.71% 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）70% similar
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