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Related Questions
- What are the key differences between fine-tuning and feature extraction in transfer learning for language models?
- How can a pre-trained language model be adapted to a new task or domain using transfer learning?
- What are some common challenges in applying transfer learning to language models, and how can they be addressed?
- Can you explain the concept of domain adaptation in transfer learning, and how it can improve a language model's generalizability?
- How does the choice of pre-training task and dataset impact the effectiveness of transfer learning for language models?
- What are some techniques for selecting the most relevant features or parameters to transfer from a pre-trained model to a new task?
- How can transfer learning be used to improve a language model's ability to generalize to out-of-distribution or unseen data?
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