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One-shot learning is a machine learning paradigm where a model learns to recognize or classify objects from a single example. Unlike traditional methods that require large amounts of data, one-shot learning aims to generalize effectively from minimal input. This approach is particularly useful in scenarios where data is scarce or expensive to obtain. Techniques such as metric learning, neural networks, and transfer learning are often used to enable one-shot learning. #oneshot #openai #llm