Michael Webster, principal engineer at CircleCI, talks to Rob about testing AI-enabled applications. In this episode, learn how to face the unique challenges posed by the probabilistic and non-deterministic nature of AI output, as well as the importance of subjective evaluation criteria.
Webster covers how model graded evals can be used to test AI applications, and the importance of caution in using this approach.
CircleCI gives AI/ML teams the tools they need to iterate quickly, deploy safely, and deliver value continuously. To learn more, visit: circleci.com/ai-ml/
Have someone you’d like to hear on the podcast? Reach out to us on Twitter/X at @CircleCI!
Confident Commit
Conversations shaping how engineering leaders and teams build, validate, and ship.
Rob Zuber sits down with the people leading engineering through its next chapter to talk about what they’re seeing, what they’re trying, and what they’re learning along the way.
Conversations shaping how engineering leaders and teams build, validate, and ship.
Rob Zuber sits down with the people leading engineering through its next chapter to talk about what they’re seeing, what they’re trying, and what they’re learning along the way.Listen on
Appears in episode
Recent Episodes












