Generalist Models Revolution
Tim questions the shift from specialized to generalist models, pondering when the current trend may falter. Marc highlights the scalability and effectiveness of attention-based transformer architectures, emphasizing the vast training data's influence on model performance. Zero shot generalization examples showcase the impressive capabilities of large models trained on extensive datasets.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter
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