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Related Questions
- What are the primary benefits of using transfer learning for pre-trained LLMs?
- How does the fine-tuning process affect the weights of the pre-trained LLM?
- What are some common applications of transfer learning and fine-tuning in the field of NLP?
- How do the architecture and capacity of the pre-trained LLM impact the effectiveness of transfer learning and fine-tuning?
- Can you explain the differences between warm-starting, full fine-tuning, and adapter-based fine-tuning?
- How does the choice of learning rate and optimizer impact the fine-tuning process for LLMs?
- What are some best practices for selecting the right pre-trained LLM for transfer learning and fine-tuning applications?
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