Understanding how users interact with your LLM-powered chat system is essential to improving its performance. In this webinar, our Data Scientist-in-Residence, Jimmy Whitaker, will show you how to use Label Studio to analyze and annotate multi-turn generative AI chat responses to help you evaluate and identify what problems your users are trying to solve and where your system may be struggling.
You’ll learn:
- How tools like Label Studio can streamline the labeling process, helping you curate meaningful data from user interactions.
- Practical strategies for evaluating generative AI-based chat systems
- Methods for pinpointing challenges and leverage labeled data to prioritize impactful improvements
- How you might use evaluation results to uncover critical insights to inform your next steps in feature development and system optimization
This technical session will be packed with actionable steps that will deliver real results - we can't wait to see you there!
Speakers
Jimmy Whitaker
Data Scientist-in-Residence