To improve a model's zero-shot ability, there are several prerequisites that can be helpful. These include training the model on a diverse range of data, using transfer learning techniques to leverage pre-trained models, and incorporating additional contextual information to aid in generalization. By improving a model's zero-shot ability, we can create more flexible and adaptable models that are capable of handling new and unexpected situations.
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