Optimizing Pytorch
Jerome discusses the challenges of early optimization in Pytorch, emphasizing the need for flexibility and efficiency. He highlights the importance of balancing external community needs with internal production requirements, showcasing the team's dedication to keeping Pytorch relevant and adaptable.In this clip
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Gradient Dissent - A Machine Learning Podcast
Jerome Pesenti — Large Language Models, PyTorch, and Meta
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