Zero-shot Learning
AI's ability to perform tasks it wasn't explicitly trained on.
Definition
Zero-shot learning refers to an AI model's ability to perform tasks or recognise categories it was not explicitly trained on. Large language models exhibit strong zero-shot capabilities, allowing them to extract information, classify documents, or answer questions about domains not in their training data. This contrasts with traditional machine learning that requires labelled examples for every task. Zero-shot abilities enable document intelligence systems to handle new document types without custom training.
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