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Google AI Hackathon: LLM based Evaluator for RAG
The document discusses an LLM-based evaluator for RAG, detailing metrics such as faithfulness, answer relevance, precision, and recall in the context of validating answers against ground truth. It mentions the use of JSON snapshots for capturing evaluation results and tools for manual evaluation. The author provides a GitHub link for further reference to the evaluation models and tools used.
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Google AI Hackathon: LLM based Evaluator for RAG
- 1. LLM based Evaluatorfor RAG Mayank Bhaskar Dave Campbell Sujit Pal
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