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Large language models excel at creative generation but continue to struggle with the issues of hallucination and bias. While retrieval-augmented generation (RAG) provides a framework for grounding LLMs' responses in accurate and up-to-date informatio
Externí odkaz:
http://arxiv.org/abs/2410.01171
