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Related Questions
- What are the key principles of transfer learning in large language model architecture design?
- How can task similarity be balanced with generalizability in transfer learning for large language models?
- What are the benefits and challenges of using pre-trained language models as a starting point for fine-tuning?
- Can you provide examples of successful transfer learning applications in large language models?
- How can the choice of pre-trained model and fine-tuning data impact the performance of a large language model?
- What are some strategies for adapting pre-trained language models to new tasks and domains?
- How can large language model architects balance the trade-off between task similarity and generalizability in transfer learning?
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