Evaluating Language Models: Metrics and Challenges

This chapter explores the intricacies of assessing large language models (LLMs) in production, highlighting the significance of domain-specific metrics and the limitations of accuracy measures. It delves into the challenges of measuring aspects like relevancy, user engagement, and kindness in model responses, emphasizing the importance of continuously evolving evaluation methods. Through analogies and examples, the discussion illustrates the complexities organizations face in aligning LLM outputs with their brand identity and operational guidelines.

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