LLM Evaluation: Measuring Performance

This video lecture focuses on LLM evaluation, a crucial aspect of understanding and improving large language model performance. It covers methods for quantifying LLM outputs in various scenarios, including coherence, factuality, and other quality metrics.

Key highlights:

• Recap of Retrieval Augmented Generation (RAG) and tool calling.
• Discussion of the challenges in evaluating free-form LLM outputs.
• Analysis of human evaluation and inter-rater agreement.
• Introduction to agreement rate metrics and their limitations.
• Overview of automated LLM evaluation methods.

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