Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
THaMESgithub.comTHaMES is an end-to-end framework for generating, mitigating, and evaluating hallucinations in Large Language Models (LLMs). It provides a pipeline for document ingestion, question-answer pair generation, and application of mitigation strategies like Chain of Verification and Retrieval Augmented Generation.
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