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Related Questions
- What are the key differences between fine-tuning and transfer learning in machine learning?
- How does fine-tuning a pre-trained language model impact its performance on downstream tasks?
- Can you explain the concept of task-specific fine-tuning and its applications in NLP?
- What are the advantages and limitations of fine-tuning over other model adaptation techniques like domain adaptation and multi-task learning?
- How does fine-tuning a model for a specific task affect its generalizability to other tasks?
- What are some common techniques used for fine-tuning pre-trained language models for specific applications like text classification and sentiment analysis?
- How does the choice of hyperparameters affect the performance of a fine-tuned model, and what are some strategies for tuning them effectively?
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