Text to Text Transformer
Rafael and team from Google push the boundaries of transfer learning with a unified text to text transformer, showcasing the power of a task-defining input text architecture. The innovative approach yields impressive performance across various tasks without compromising model integrity.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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