Custom Model Optimization
A large e-commerce company achieved remarkable results by refining their data curation process, moving from extensive fine-tuning to a custom pre-trained model that significantly improved their performance. Emphasizing the importance of a rigorous approach, the discussion highlights the need to start simple and progressively tackle more complex issues as they arise. The conversation underscores that applying overly complex solutions to minor problems can hinder progress for everyone involved.In this clip
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Unsupervised Learning
Alex Ratner: From Stanford PhD to Founding a Billion Dollar AI Startup
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