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Related Questions
- How does the initial model architecture impact the trade-off between fine-tuning and starting from scratch?
- What are the key factors that determine whether to fine-tune or start from scratch for a given task?
- Can you explain the role of dataset size and task complexity in the fine-tuning vs starting from scratch decision?
- How does the trade-off between fine-tuning and starting from scratch change for simple tasks versus complex tasks?
- What are the potential benefits and drawbacks of fine-tuning versus starting from scratch for large datasets?
- How does the choice between fine-tuning and starting from scratch affect the overall performance and generalizability of a model?
- What are some strategies for determining whether to fine-tune or start from scratch for a specific task or dataset?
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