GLOSSARY TERM
What is Zero-Shot Learning?
A model's capability to correctly classify data belonging to unseen classes.
Zero-shot learning relies on models that map both data and classes into a shared semantic space. By understanding the linguistic description of a target, the model can successfully categorize instances it has never explicitly trained on.
Instant Inference
Unlock immediate zero-shot operational value utilizing robust M1 models.