Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval
Favorite Evaluating large language models (LLMs) is crucial as LLM-based systems become increasingly powerful and relevant in our society. Rigorous testing allows us to understand an LLM’s capabilities, limitations, and potential biases, and provide actionable feedback to identify and mitigate risk. Furthermore, evaluation processes are important not only for LLMs,
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Shared by AWS Machine Learning January 29, 2025