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Related Questions
- What are the key differences between multi-task learning and transfer learning in the context of language models?
- How can we design a multi-task learning framework to improve a language model's performance on tasks such as question answering, sentiment analysis, and text classification?
- What are some common challenges and limitations of multi-task learning in language models, and how can we address them?
- Can you explain the concept of task clustering in multi-task learning, and how it can be applied to language models?
- How can we leverage pre-trained language models as a starting point for multi-task learning, and what are the benefits and trade-offs?
- What are some evaluation metrics and techniques for assessing the performance of a multi-task learning language model?
- How can we adapt multi-task learning to handle tasks with different input formats, such as text, images, and audio, in a language model?
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