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Machine studying mannequin analysis requires operating costly, long-running experiments the place even a slight mis-calibration can price thousands and thousands of {dollars} in underutilized compute sources. As soon as skilled, mannequin deployment, manufacturing monitoring, and observability necessities all current distinctive operational challenges.
Chris Van Pelt is the Chief Info Officer of Weights and Biases, which is the trade 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 right now 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.
Sean’s been a tutorial, startup founder, and Googler. He has revealed works masking a variety of matters from info visualization to quantum computing. At the moment, Sean is Head of Advertising and marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privateness and safety engineering. You’ll be able to join with Sean on Twitter @seanfalconer .
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