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Machine studying mannequin analysis requires working costly, long-running experiments the place even a slight mis-calibration can value hundreds of thousands of {dollars} in underutilized compute assets. As soon as skilled, 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 at this time to debate the state of the machine studying ecosystem at massive, in addition to a few of their more moderen work round manufacturing LLM tracing and monitoring.
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