LettuceDetect: A Hallucination Detection Framework for RAG Applications
How to capitalize on ModernBERT’s extended context window to build a token-level classifier for hallucination detection The post LettuceDetect: A Hallucination Detection Framework for RAG Applications appeared first on Towards Data Science.
Originally published on HuggingFace
TL;DR
We present LettuceDetect, a lightweight hallucination detector for Retrieval-Augmented Generation (RAG) pipelines. It is an encoder-based model built on ModernBERT, released under the MIT license with ready-to-use Python packages and pretrained models.
- What: LettuceDetect is a token-level detector that flags unsupported segments in LLM answers.
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