Evals 101
Master the art of evaluating and improving AI agent performance.
Your Instructors
Alex
Co-founder of AgentOps
Alex is a leading expert in AI agent development and deployment. As the co-founder of AgentOps, he has extensive experience in building production-grade AI systems and specializes in making complex AI technologies accessible and practical for real-world applications. His work focuses on creating robust, scalable AI solutions that deliver real business value.
Sri Laasya Nutheti
Agent Developer at AgentOps
Sri Laasya Nutheti is an Agent Developer at AgentOps with a remarkable track record of building over 20 agents across diverse use cases. Her background includes ML research at prestigious institutions like Weill Cornell Medicine and MIT, where she focused on healthcare applications of machine learning and published research papers. As a former founder, she brings a unique blend of technical expertise, research acumen, and entrepreneurial perspective to her work at AgentOps.
What You'll Learn
Overview
This introductory webinar will guide you through the essential concepts and practices of evaluating AI systems. Learn how to measure, analyze, and improve your AI implementations effectively.
Topics Covered
- Fundamentals of AI evaluation
- Key metrics and measurement techniques
- Setting up evaluation frameworks
- Common evaluation challenges and solutions
- Best practices for continuous improvement
- Tools and methodologies for effective evaluation
- Case studies and real-world examples
- Q&A session with the instructor
Key Benefits
- Comprehensive understanding of AI evaluation
- Practical tools and techniques for assessment
- Framework for continuous improvement
- Real-world examples and case studies
- Expert guidance on evaluation best practices
Register Now
We use cookies
We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.
By clicking "Accept", you agree to our use of cookies.
Learn more.