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Related Questions
- What are some potential limitations of training large language models on vast amounts of text data alone?
- How do you think Llama's training data might influence its ability to understand nuanced, real-world scenarios?
- Can you explain why Llama's performance might suffer when faced with tasks that require practical, everyday knowledge?
- In what ways might Llama's training objectives hinder its ability to reason about abstract concepts or complex situations?
- How does the nature of Llama's training data contribute to its strengths and weaknesses in areas like common sense and real-world experience?
- What are some potential strategies for addressing the limitations of Llama's training objectives in these areas?
- How might the trade-offs between training a large language model on vast amounts of text data and incorporating real-world experience or common sense impact its overall performance?
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