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Classroom Contents
Towards Robust and Efficient AI at Scale
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- 1 Introduction
- 2 What does it do
- 3 Electric load forecasting
- 4 Transformer architecture
- 5 Robustness
- 6 AI method methods
- 7 Transformer architectures
- 8 The curse of dimensionality
- 9 Largescale AI
- 10 Scalable AI
- 11 Heat
- 12 Task scheduling
- 13 Neural networks
- 14 Distributed asynchronous and selective optimization
- 15 Hyperparameter optimization
- 16 Environmental footprint
- 17 Efficiency
- 18 Community outreach
- 19 Energy consumption
- 20 AI workload
- 21 Perun
- 22 Model energy consumption
- 23 Uncertainty quantification
- 24 Questions
- 25 Power generation forecasting
- 26 Attention Matrix sparsity
- 27 Energy efficiency
