Weights & Biases with Chris Van Pelt

Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained, model deployment, production monitoring, and observability requirements all present unique operational challenges.

Chris Van Pelt is the Chief Information Officer of Weights and Biases, which is the industry standard in experiment monitoring and visualization, and has expanded that expertise into a comprehensive suite of ML Ops tooling including model management, deployment, and monitoring.

Chris joins us today to discuss the state of the machine learning ecosystem at large, as well as some of their more recent work around production LLM tracing and monitoring.