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a person-shot learning is actually a machine learning paradigm aiming to acknowledge objects or styles from a restricted amount of training illustrations, generally just only one instance. These algorithms use machine learning and purely natural language processing, with the bots learning from records of earlier discussions to come up with ideal r

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