Vectara Spies RAG As Solution to LLM Fibs and Shannon Theorem Limitations

Large language models (LLMs) hallucinate. There’s just no way around that, thanks to how they’re designed and fundamental limitations on data compression as expressed in the Shannon Information Theorem, says Vectara CEO Amr Awadallah. But there are ways around the LLM hallucination problem, including one by Vectara that uses retrieval-augmented generation (RAG), among other methods. Read more…

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