<ul><li>Language models have revolutionized how we interact with AI, enabling powerful applications in various fields.</li><li>However, one major challenge with language models is hallucination, where false or misleading information is confidently produced.</li><li>Hallucinations can undermine trust, mislead users, and cause harm in sensitive applications.</li><li>A guide introduces DeepEval, a Python library for effectively evaluating and managing language model outputs to detect and mitigate hallucination.</li></ul>

A Practical Guide to Identifying and Mitigating Hallucinations Outputs in Language Models

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