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Related Questions
- How does fine-tuning Llama impact its ability to generalize to new domains compared to other large language models?
- What are the primary advantages of using few-shot learning for fine-tuning Llama and Qwen?
- Can you explain the concept of catastrophic forgetting and how it relates to few-shot learning in Llama and Qwen?
- How do the architectures of Llama and Qwen influence their performance on few-shot learning tasks?
- What are the key hyperparameters that need to be tuned when fine-tuning Llama and Qwen for few-shot learning?
- How do the pre-training objectives of Llama and Qwen affect their ability to adapt to new tasks with few examples?
- What are some common challenges encountered when fine-tuning Llama and Qwen on few-shot learning tasks, and how can they be addressed?
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