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RAG與LLM配合使用的概念流程-行業數據

RAG與LLM配合使用的概念流程
RAG與LLM配合使用的概念流程
用訓練數據來源之外的知識庫，對模型在專業領域的知識補充、長時記憶、新知識補充等都起到至關重要的作用。提升了大模型輸出的信息的及時性和質量、減少幻覺。在大模型本就已經很強的上下文記憶能力基礎上，接上了一個隨時可以擴展的向量數據庫。
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所屬報告： 傳媒行業從技術演進到算力消耗估算深度拆解AI Agent：AI進入Token時代MCP賦能Agent邁向泛智能-250406（23頁）.pdf
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