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Related Questions
- What is the primary difference between LLM fine-tuning and transfer learning?
- How do pre-trained LLMs facilitate adaptation to new tasks through transfer learning?
- Can you explain the concept of 'domain adaptation' in the context of LLM fine-tuning and transfer learning?
- What are some common techniques used to adapt pre-trained LLMs to new tasks, and how do they relate to fine-tuning and transfer learning?
- How does the choice of pre-training data impact the effectiveness of transfer learning for LLMs?
- What are some potential challenges or limitations of using transfer learning with LLMs, and how can they be addressed through fine-tuning?
- Can you describe a scenario where fine-tuning an LLM would be more effective than relying solely on transfer learning, and vice versa?
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