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Related Questions
- What are the key benefits of general-purpose training for a large language model?
- How does transfer learning contribute to a model's ability to generalize across domains?
- Can you explain the role of self-supervised learning in enabling a model to learn generalizable representations?
- What are some strategies for fine-tuning a pre-trained model to adapt to a new domain or task?
- How does the quality of pre-training data impact the model's ability to generalize?
- Can a general-purpose model be applied to tasks outside of text, such as image or audio processing?
- What are some common challenges associated with generalizing to new domains or tasks, and how can they be addressed?
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