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Join us on February 15th as Mark showcases Hypothetic’s use of W&B in their generative AI workflows.
Mark will detail their use of W&B Experiments, Artifacts, and Model Registry to track training experiments, configs, and model artifacts. He will also provide unique examples of logging and visualizing 3D data representations in W&B.
Ken will provide a deep dive into some of the tools highlighted by Mark and the Hypothetic team and share some tips and best practices for integrating W&B into your ML workflows.

ML Engineer
Weights & Biases

Senior ML Engineer
Hypothetic