EvalOps - Mastering The Game of LLM Judges

This keynote presentation explores the emerging field of EvalOps - the operational discipline focused on mastering the deployment, management, and optimization of LLM judges in production environments. Drawing from real-world experience and cutting-edge research, this session provides a comprehensive framework for understanding and implementing effective LLM evaluation systems.

The presentation covers the strategic and tactical aspects of building robust evaluation operations that can scale with your AI applications while maintaining reliability and accuracy.

Key Topics Covered

• Fundamentals of EvalOps: Building operational excellence in LLM evaluation.
• Strategic Deployment Patterns: How to use LLM judges in production environments.
• Monitoring & Observability: Strategies for evaluation systems.
• Cost Optimization: Techniques for large-scale LLM judge operations.
• Quality Assurance: Reliability engineering for AI evaluation.
• Integration Patterns: Connecting with existing MLOps and DevOps pipelines.

Who Should Watch

• ML Engineers and AI practitioners.
• DevOps and Platform engineers.
• Technical leaders responsible for AI quality.
• Data Scientists and Product Managers.