Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base - Code World

Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base

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Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base

Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base

Natural Language Processing 22-A quick question and answer system based on local knowledge base, using the Chinese training set of the large model as the knowledge base

Building a local knowledge base based on a large model

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Application practice of knowledge question answering based on large language model – knowledge base construction (Part 2)

Intelligent campus knowledge graph question and answer recommendation system based on Bert+Attention+LSTM - NLP natural language processing algorithm application (including all Python engineering source codes and training models) + data set

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chatGPT local knowledge base question and answer principle practice

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Dify builds a local knowledge base question answering application based on ChatGPT

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Code Review practice based on large model + knowledge base

KG-Open source project: CMeKG [Using natural language processing and text mining technology, based on large-scale medical text data, a Chinese medical knowledge graph developed in a human-computer combination]

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Domain Knowledge Graph-Chinese Recipe Knowledge Graph: Realize Knowledge Graph Visualization and Knowledge Base Intelligent Question Answering System (KBQA)

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[Large model knowledge base] (5): Running the BGE model of dity+fastchat in the local environment, you can use the embedding interface to vectorize the knowledge base, and the continuous adjustment is successful.

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