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Related Questions
- What are the key differences between large-scale pre-training and fine-tuning in the context of NLP?
- How does Llama's pre-training process on a diverse range of text data enable it to capture general language patterns?
- Can you explain the concept of 'transfer learning' in the context of NLP and how it applies to Llama's fine-tuning process?
- What role does unsupervised learning play in Llama's pre-training process, and how does it contribute to its ability to generalize?
- How does Llama's fine-tuning process adapt to specific NLP tasks, and what are the key factors that influence its performance?
- What are some potential limitations of Llama's pre-training and fine-tuning approach, and how might they impact its ability to generalize?
- Can you discuss the relationship between Llama's pre-training and fine-tuning processes and its ability to handle out-of-vocabulary words and domain-specific terminology?
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