EvalOps - Mastering The Game of LLM Judges
A comprehensive keynote on operational excellence in LLM evaluation and judgment systems
About This Keynote
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 for LLM judges in production environments
- Monitoring and observability strategies for evaluation systems
- Cost optimization techniques for large-scale LLM judge operations
- Quality assurance and reliability engineering for AI evaluation
- Integration patterns with existing MLOps and DevOps pipelines
- Case studies from successful LLM judge implementations
Who Should Watch
- ML Engineers and AI practitioners working with LLM systems
- DevOps and Platform engineers managing AI infrastructure
- Technical leaders responsible for AI quality and reliability
- Data Scientists implementing evaluation frameworks
- Product managers overseeing AI-powered applications
- Anyone interested in operational excellence for AI systems
About the Speaker
This keynote is presented by Root Signals' leadership team, drawing from extensive experience in deploying and managing LLM evaluation systems across various industries. The insights shared represent lessons learned from hundreds of production deployments and real-world operational challenges.
Watch the Recording
This keynote has been recorded. Fill out the form below to access the recording and learn about mastering EvalOps for LLM judges.
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