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Related Questions
- What are some examples of multi-task learning models in natural language processing?
- Can you give examples of models that can perform both question answering and sentiment analysis?
- How do multi-task learning models handle different types of tasks with varying input formats?
- What are the benefits of training a single model to perform multiple tasks compared to training separate models for each task?
- Can you provide examples of real-world applications of multi-task learning in NLP, such as in chatbots or virtual assistants?
- How do multi-task learning models handle task conflicts or conflicting objectives, such as when a model is asked to perform tasks that require different types of output?
- What are the challenges associated with training multi-task learning models, and how do they affect the performance of the model?
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