Multitask Learning Insights
Tim and Yannic delve into the benefits of multitask learning in pre-training models, discussing the shared representations and potential for abstractive language understanding. They explore the idea of zero-shot translation and the intriguing possibilities of multilingual translation models.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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