Multitask Learning
Colin explains how their approach involves pre-training models on large text datasets and fine-tuning them on various supervised tasks. They introduce a new dataset, C4, for training without overfitting. Multitask learning challenges and benefits are discussed in the context of improving model performance.In this clip
From this podcast
Data Skeptic
The Limits of NLP
Related Questions