Zero-shot learning (ZSL) is an AI model that can generate images that have not been labeled and presented in the training phase. At execution (inference), the model is given auxiliary descriptions.

A pioneering study demonstrates the promising capability of zero-shot large language models (LLMs) to analyze patient-reported symptom narratives and accurately differentiate between common peripheral ...