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Related Questions
- What are the primary factors influencing the energy consumption of deep learning models?
- Can you explain the relationship between model architecture and computational resources required?
- How do hyperparameters such as batch size and learning rate affect energy consumption?
- Are there any specific model architectures designed to be more energy-efficient?
- Can you discuss the concept of 'embarrassingly parallel' computations and its impact on energy consumption?
- How do different types of hardware (e.g., GPUs, TPUs, CPUs) affect energy consumption for large models?
- Are there any studies or estimates on the carbon footprint of training and deploying large language models?
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