Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services
AWS Machine Learning
NOVEMBER 29, 2023
Evaluating these models allows continuous model improvement, calibration and debugging. Once in production, ML consumers utilize the model via application-triggered inference through direct invocation or API calls, with feedback loops to model owners for ongoing performance evaluation. name: "llama2-7b-finetuned".
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