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Related Questions
- How does the pre-training process of language models affect their ability to adapt to new tasks with limited training data?
- Can pre-trained language models learn to generalize across multiple tasks and domains?
- What is the role of fine-tuning in improving the performance of pre-trained language models on specific tasks?
- How do the size and complexity of pre-trained language models impact their ability to learn from limited training data?
- Can pre-trained language models be used for zero-shot learning on tasks with no available training data?
- What are the key factors that influence the transferability of knowledge from pre-trained language models to new tasks?
- Are there any specific pre-training objectives or techniques that can enhance the transferability of language models to new tasks with few training examples?
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