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Zero-shot, single-shot, and few-shot learning are variations of the same concept, where a model is provided with little to no training data to classify new data and make predictions. A “shot” refers to a single training example. Fun fact: In GPT prompts, you can ask for “N” examples to improve the accuracy of the response.