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Related Questions
- What are the key differences between pre-training corpora and fine-tuning tasks in LLMs?
- How does the choice of pre-training corpus affect the language understanding and generation capabilities of LLMs?
- Can you explain the concept of inductive transfer learning and its role in LLM generalizability?
- What are some common pre-training corpora used in LLMs, and how do they impact generalizability?
- How does fine-tuning on specific tasks, such as question-answering or text classification, influence the generalizability of LLMs?
- What are some best practices for selecting a pre-training corpus and fine-tuning task to improve LLM generalizability?
- Can you discuss the impact of corpus size, diversity, and quality on LLM generalizability?
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