Learn how to evaluate and analyze Large Language Model (LLM) performance through a 12-minute tutorial focused on building metrics for assessment. Explore the process of coding evaluation metrics, interpreting visualization plots, and analyzing prediction outliers for LLM systems. Gain practical insights into model evaluation techniques while following along with hands-on demonstrations and detailed explanations. Master the essential skills needed to assess and improve LLM performance through systematic evaluation methods and data analysis approaches.
Building DietGPT: Evaluating Model Performance - Part 3
Overview
Syllabus
- Introduction
- Coding metrics for LLM evaluation
- Understanding plots and evaluations
- Looking at outliers for predictions
- Summary and wrap-up
Taught by
Aladdin Persson
