Learn how to effectively evaluate Large Language Model (LLM) performance in this 34-minute video tutorial. Master the fundamentals of LLM evaluation pipelines, build demo applications, and create comprehensive evaluation datasets. Discover practical techniques for developing evaluation tasks and questions, execute thorough analyses, and compare performance across different LLM models. Gain hands-on experience with evaluation methodologies while exploring the complete evaluation workflow from initial setup to final performance comparison. Progress through structured segments covering pipeline architecture, dataset creation, practical task development, and results analysis, culminating in actionable insights for implementing robust LLM evaluation systems.
Comprehensive Guide to Evaluating Large Language Models (LLM) Performance
Overview
Syllabus
Introduction to LLM Evaluation
Understanding Evaluation Pipelines
Building a Demo Application
Creating Evaluation Datasets
Practical Evaluation Task / Question Development
Running and Analyzing Evaluations
Comparing LLM Model Performance using Evals
Conclusion and Next Steps
Taught by
Trelis Research
