What is the RAG in AI? #90
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I am new in AI technology. |
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What is Retrieval-Augmented Generation? Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. |
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RAG(Retrieval-augmented generation) combines generation and retrieval models in AI. It enhances text generation by retrieving relevant information from a large dataset before generating responses |
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RAG(Retrieval-augmented generation) combines generation and retrieval models in AI. It enhances text generation by retrieving relevant information from a large dataset before generating responses
In chatbots, lag techniques are used to increase the accuracy of the chatbot.
If material about a particular field or company has not been studied in the LLM, this particular material can be stored in VectorDB, but the NLP capabilities can be augmented by answering the relevant questions.