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Related Questions
- What are the typical energy consumption patterns of training and deploying large language models compared to other AI applications like computer vision or reinforcement learning?
- How do the energy costs of large language models compare to those of other AI applications in terms of computational resources and power consumption?
- Can you provide examples of AI applications that have similar or higher energy costs than large language models, and what factors contribute to these costs?
- What are some strategies for reducing the energy costs of training and running large language models, and how do they compare to other AI applications?
- How do the energy costs of large language models impact their scalability and deployment in real-world applications?
- What are the environmental implications of the high energy costs associated with training and running large language models, and how can they be mitigated?
- Can you compare the energy costs of large language models to those of other data-intensive applications like scientific simulations or data analytics?
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