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Related Questions
- What are the key components of Llama's fine-tuning process for adapting to new tasks and domains?
- How does Llama's ability to adapt to new domains and tasks impact its overall accuracy and performance?
- Can you explain the concept of few-shot learning and its relevance to Llama's fine-tuning process?
- What are the challenges and limitations of fine-tuning a large language model like Llama for new tasks and domains?
- How does Llama's fine-tuning process handle out-of-vocabulary words and domain-specific terminology?
- What are the implications of Llama's fine-tuning process on its ability to generalize to new and unseen data?
- Can you discuss the trade-offs between the amount of fine-tuning data and the model's performance on new tasks and domains?
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