LLMs as Judges: A Comprehensive Survey on LLM-Based Evaluation Methods
Deep Papers
00:00
Evaluating Large Language Models
This chapter explores the methodologies used to assess the performance of large language models (LLMs) as evaluators. It covers various input evaluation types, such as item-wise and pair-wise assessments, and emphasizes the importance of benchmarks like linguistic quality and task-specific metrics. Furthermore, it discusses the role of human evaluators in enhancing evaluation accuracy and the applicability of LLMs in diverse contexts.
Transcript
Play full episode
