Model Drift Insights
Jaeden and Emmanuel discuss the reality of model drift in computer vision, emphasizing the need for regular model refreshes to maintain performance. They explore the potential legal challenges surrounding generative AI, particularly regarding the use of copyrighted material for training models. As governments grapple with regulatory frameworks, the conversation highlights the uncertainty and evolving nature of AI's legal landscape.In this clip
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