Metrics Driven Development (Practical AI #284)
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Evaluating Language Model Metrics
This chapter explores the intricacies of assessing language models across different linguistic contexts and the importance of aligning metrics with domain-specific expectations. It highlights the challenges of converting messy production data into effective test datasets and emphasizes the need for quality data to ensure accurate evaluation of AI applications.
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