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Related Questions
- What are the typical hyperparameters that need to be tuned when fine-tuning a large language model on a specific task?
- How does the choice of optimizer and learning rate schedule impact the performance and computational requirements of fine-tuning a large language model?
- Can you explain the concept of knowledge distillation and how it can be applied to fine-tune a large language model on a smaller dataset?
- What are some strategies for reducing the computational requirements of fine-tuning a large language model while maintaining its performance?
- How does the choice of model architecture and size impact the trade-off between performance and computational requirements when fine-tuning a large language model?
- Can you discuss the role of batch size and gradient accumulation in fine-tuning large language models and how they impact computational requirements?
- What are some techniques for transfer learning and adapting a pre-trained model to a new task with limited training data?
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