Completed
- Intro & Overview
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Classroom Contents
Pretrained Transformers as Universal Computation Engines
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- 1 - Intro & Overview
- 2 - Frozen Pretrained Transformers
- 3 - Evaluated Tasks
- 4 - The Importance of Training LayerNorm
- 5 - Modality Transfer
- 6 - Network Architecture Ablation
- 7 - Evaluation of the Attention Mask
- 8 - Are FPTs Overfitting or Underfitting?
- 9 - Model Size Ablation
- 10 - Is Initialization All You Need?
- 11 - Full Model Training Overfits
- 12 - Again the Importance of Training LayerNorm
- 13 - Conclusions & Comments
