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Related Questions
- What advantages does transfer learning provide when adapting large language models for new tasks?
- How does pre-trained knowledge help improve the accuracy and efficiency of fine-tuning large language models?
- What type of tasks benefit most from the use of transfer learning with large language models, and why?
- Can you explain how transfer learning allows large language models to learn from limited task-specific data?
- How does fine-tuning a pre-trained large language model on a specific task leverage the representation learning capabilities of the base model?
- What are some common strategies for selecting the optimal architecture and hyperparameters for transfer learning with large language models?
- What are the trade-offs between fine-tuning a pre-trained large language model on a specific task versus starting from scratch with a small, task-specific model?
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