AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
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.