Scaling ML Collaboration
Erica discusses the challenges of scaling machine learning collaboration, emphasizing the difficulties teams face when working in silos due to inadequate tooling. She highlights the importance of shared resources, such as a TensorFlow transform repository, to streamline model development and reduce redundancy across teams. The conversation sheds light on the need for better practices in ML systems to enhance collaboration and efficiency.In this clip
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