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Related Questions
- What is transfer learning and how can it be applied to improve out-of-vocabulary word handling in contextual prompts?
- Can you provide examples of how transfer learning can be used to adapt a pre-trained language model to handle novel words or phrases in a specific domain?
- How does transfer learning address the issue of limited training data for out-of-vocabulary words, and what are the implications for model performance?
- What are some common techniques used in transfer learning to adapt a pre-trained model to a new task or domain, and how can they be applied to improve out-of-vocabulary word handling?
- Can you explain the concept of 'fine-tuning' in transfer learning and how it can be used to adapt a pre-trained model to a specific task or domain?
- How can transfer learning be used to improve the generalizability of a language model to new, unseen data, including out-of-vocabulary words?
- What are some challenges associated with using transfer learning to improve out-of-vocabulary word handling in contextual prompts, and how can they be addressed?
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