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Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

Ground truth curation and metric interpretation best practices for evaluating generative AI question answering using FMEval

Generative artificial intelligence (AI) applications powered by large language models (LLMs) are rapidly gaining traction for question answering use cases. From internal knowledge bases for customer support to external conversational

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