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Related Questions
- How can we fine-tune language models to handle out-of-vocabulary words and unknown entities?
- What are some techniques for incorporating common sense and world knowledge into language models to improve their ability to handle ambiguous and uncertain situations?
- Can you explain the concept of 'adversarial training' and how it can be applied to improve the robustness of language models to ambiguous and uncertain inputs?
- What is the role of data augmentation in improving the tolerance of language models to ambiguity and uncertainty?
- How can we leverage multi-task learning to improve the ability of language models to handle diverse and uncertain inputs?
- Can you discuss the trade-off between model complexity and interpretability in the context of improving tolerance to ambiguity and uncertainty?
- What are some strategies for incorporating feedback mechanisms into language models to improve their ability to learn from uncertain and ambiguous inputs?
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