Aligning LLM Judges for Better Evaluations in RAG Pipelines

Explore the intricacies of aligning LLM judges for improved evaluations in this comprehensive webinar. Delve into various evaluation strategies, focusing on LLM Judge alignment using a RAG pipeline as a case study. Learn to construct an effective evaluation system with LlamaIndex and harness W&B Weave for systematic assessment and annotation. Discover the importance of evaluation in LLM applications, compare frameworks like LlamaIndex and LangChain, and understand the role of Weights & Biases in LLM Ops. Gain insights into RAG technology, its pipeline components, and witness a live demonstration of building a retriever and query engine. Explore the integration of Weave, trace viewing, and customized evaluation techniques. Uncover best practices throughout the entire evaluation lifecycle in this hour-long session, concluding with final thoughts and a summary of key takeaways.

Introduction and overview
Importance of evaluation in LLM Applications
Frameworks: LlamaIndex vs LangChain
Weights & Biases in LLM Ops
What is RAG?
Components of a RAG pipeline
Demo time
Building the retriever and query engine
Integrating Weave and viewing Traces
Customized evaluation and comparison
Final thoughts and summary