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Related Questions
- What are the key differences between fine-tuning and pre-training from scratch in the context of large language models?
- Can you explain the concept of transfer learning and its relevance to fine-tuning in machine learning?
- How does fine-tuning impact the performance of a model on a specific task, compared to training from scratch?
- What are the advantages of fine-tuning a pre-trained model versus training a model from scratch on a specific task?
- How does the choice of pre-training dataset affect the fine-tuning process and its outcomes?
- Can fine-tuning be used for tasks beyond language understanding, such as image classification or speech recognition?
- What are the implications of fine-tuning on the interpretability and explainability of a model's decisions?
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