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Related Questions
- What is the primary goal of pre-training in the context of transfer learning for out-of-vocabulary word handling in contextual prompts?
- How does pre-training enable a language model to learn general language representations and tasks, and how does this impact fine-tuning for specific tasks?
- What is the relationship between pre-training and fine-tuning in multi-task learning, and how do they contribute to improved out-of-vocabulary word handling?
- Can you explain the concept of 'domain adaptation' in the context of transfer learning and fine-tuning, and how it relates to out-of-vocabulary word handling?
- How do you handle out-of-vocabulary words during pre-training and fine-tuning, and what strategies can be employed to improve their handling?
- What is the impact of pre-training and fine-tuning on the ability of a language model to generalize to new, unseen data and handle out-of-vocabulary words?
- Can you discuss the trade-offs between pre-training and fine-tuning in terms of computational resources, model complexity, and out-of-vocabulary word handling?
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