Reducing LLM Hallucinations: Retrieval and Evals
Large Language Models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation. However, one persistent issue affecting the trustworthiness and wide-scale applicability of these models is hallucination — the generation of text that sounds plausible but is factually incorrect or entirely fabricated. As LLMs begin to permeate industries such as healthcare, education, legal …
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