What is Zero-shot Learning?

Definition

Zero-shot learning is the ability of AI models, particularly large language models, to perform tasks they were never explicitly trained on without any examples provided. The model uses knowledge gained during training to generalize to new situations. For instance, asking an LLM to translate a language it never saw in training - it can often do it using understanding of language structure.