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Related Questions
- What are the key differences between pre-trained models and fine-tuned models in transfer learning?
- How does entity categorization benefit from fine-tuning in transfer learning?
- What are the potential risks of over-fine-tuning a pre-trained model, and how can they be mitigated?
- Can you explain the concept of 'domain adaptation' in fine-tuning and its relevance to entity categorization tasks?
- What is the typical approach to fine-tuning a pre-trained model for entity categorization, and what are the common techniques used?
- How does fine-tuning impact the model's ability to generalize to new, unseen data in entity categorization tasks?
- What are some strategies for selecting the optimal hyperparameters for fine-tuning a pre-trained model in entity categorization?
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