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Related Questions
- How do pre-trained language models adapt to new tasks through fine-tuning in transfer learning?
- What are the key differences between pre-training objectives in self-supervised learning and supervised learning in large language models?
- Can you explain the concept of domain adaptation in transfer learning and how it applies to large language models?
- What role does the pre-training objective play in determining the generalizability of large language models to downstream tasks?
- How does the choice of pre-training objective impact the performance of large language models on specific tasks such as question-answering and text classification?
- What are some common pre-training objectives used in large language models and their corresponding strengths and weaknesses?
- How can the pre-training objective be designed to improve the robustness of large language models to out-of-distribution data and adversarial attacks?
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