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There are a few key ingredients that make **Zero-Shot Learning** tick. First off, you've got your *seen classes*, the classes that the model *does* get to train on, along with their corresponding features and labels. Then you've got your *unseen classes*, the ones the model needs to identify without any direct training examples. The real magic happens with something called *side information*. This side information provides the bridge between the seen and unseen classes. Common types of side information include:
