11min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

Metrics Driven Development

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Evaluating Language Models: Metrics and Data Challenges

This chapter examines the intricate evaluation of large language models across diverse languages and domains, emphasizing the need for aligned metrics and addressing biases in assessments. It also highlights the significance of understanding user query distribution, effective data processing, and the role of synthetic data in overcoming the challenges of messy production environments.

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