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Related Questions
- What is the difference between multi-task learning and transfer learning in the context of large language models?
- Can you explain the concept of domain adaptation in large language models and how multi-task learning contributes to it?
- How does multi-task learning help large language models to generalize better across different domains and tasks?
- What are some challenges associated with adapting large language models to new domains and tasks, and how does multi-task learning address these challenges?
- Can you discuss the role of task-specific objectives in multi-task learning and how they impact the performance of large language models?
- How does multi-task learning help large language models to adapt to tasks with different data distributions, such as text classification and question answering?
- What are some common techniques used in multi-task learning to adapt large language models to new domains and tasks, and how do they work?
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