Transformer Impact
Yannic explains how transformers revolutionized text processing by addressing the limitations of recurrent neural networks. Tim discusses the groundbreaking impact of Bert in the NLP field, leading to a wave of papers building upon its innovations. Connor highlights the significance of isolating factors contributing to performance gains in natural language processing models.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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