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Related Questions
- What are the advantages of fine-tuning a pre-trained model for a specific task compared to training a model from scratch?
- How does fine-tuning a pre-trained model impact its performance on the target task?
- What are some common challenges that arise when fine-tuning a pre-trained model for a specific task?
- How can fine-tuning a pre-trained model help improve the model's generalizability to new tasks?
- What are some techniques for adapting a pre-trained model to a new task, and what are their trade-offs?
- How does the choice of pre-trained model and the specific fine-tuning approach affect the model's performance on the target task?
- What are some best practices for fine-tuning a pre-trained model to ensure optimal performance on the target task?
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