Unleashing Unlabeled Data
Jonathan shares eye-opening anecdotes about companies underutilizing vast amounts of unlabeled data. He emphasizes the importance of customizing models to specific needs rather than relying on pretraining. The focus is on optimizing model training efficiently for real-world applications.In this clip
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Gradient Dissent - A Machine Learning Podcast
Jonathan Frankle of MosiacML— Neural Network Pruning and Training
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