Evolution of Language Models
Tim discusses the evolution of language models, from Elmo to Ulm fit, emphasizing the concept of transfer learning. Yannic introduces transformers as a new paradigm in neural network design, highlighting their ability to capture long-range dependencies in data.In this clip
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Machine Learning Street Talk (MLST)
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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