There seems to be a new large ML model grabbing headlines every week. Whether it's OpenAI's big releases like ChatGPT, or GPT-4, or one of the many open source projects generating state-of-the-art models, like Stable Diffusion, StableLM, or Craiyon, these models have found their way into the mainstream. Chris will map the landscape for you and share how these teams use W&B to accelerate their work.
Chris Van Pelt is a co-founder and the CISO of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 12 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College.
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