Machine studying mannequin analysis requires operating costly, long-running experiments the place even a slight mis-calibration can value thousands and thousands of {dollars} in underutilized compute assets. As soon as educated, mannequin deployment, manufacturing monitoring, and observability necessities all current distinctive operational challenges.
Chris Van Pelt is the Chief Data Officer of Weights and Biases, which is the business normal in experiment monitoring and visualization, and has expanded that experience right into a complete suite of ML Ops tooling together with mannequin administration, deployment, and monitoring.
Chris joins us as we speak to debate the state of the machine studying ecosystem at giant, in addition to a few of their newer work round manufacturing LLM tracing and monitoring.
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