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Related Questions
- What are the key factors to consider when selecting pre-training tasks for a language model?
- How do different pre-training tasks, such as masked language modeling and next sentence prediction, affect the model's ability to generalize to new domains?
- Can you explain the concept of domain adaptation in the context of language models and how it relates to pre-training tasks?
- What are some common pitfalls to avoid when adapting a pre-trained language model to a new domain?
- How does the size and quality of the pre-training dataset impact the model's ability to adapt to new domains?
- Can you discuss the trade-offs between fine-tuning a pre-trained model versus training from scratch in a new domain?
- What role does transfer learning play in enabling a language model to adapt to new domains after pre-training?
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