Japan-based KDDI and the National Institute of Information and Communications Technology started joint research on large-scale language models with...
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LLMs like GPT-3, GPT-4, and their open-source counterpart often struggle with up-to-date information retrieval and can sometimes generate hallucinations or incorrect information. Retrieval-Augmented Generation (RAG) is a technique that combines the power of LLMs with external knowledge retrieval. RAG allows us to ground LLM responses in factual, up-to-date information, significantly improving the accuracy and reliability […] The post Building LLM Agents for RAG from Scratch and Beyond: A Comprehensive Guide appeared first on Unite.AI.
Japan-based KDDI and the National Institute of Information and Communications Technology started joint research on large-scale language models with...
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