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For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning. [24] In-context learning is an emergent ability [25] of large language models.
Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning -based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples.
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A Few Good Men is a 1992 American legal drama film based on Aaron Sorkin's 1989 play. It was written by Sorkin, directed by Rob Reiner, and produced by Reiner, David Brown and Andrew Scheinman. It stars an ensemble cast including Tom Cruise, Jack Nicholson, Demi Moore, Kevin Bacon, Kevin Pollak, J. T. Walsh, Cuba Gooding Jr., and Kiefer Sutherland.
Two, online dating is really fantastic for only the top few men. You know, the top 5% of men who rate high in attractiveness, height and income, have the best shot at most of the women.
However, the use of a real time ticking bomb through the single shot is seen as a standard. [2] Although animated films are not included in a list of one-shot films, The Wolf House (2018) is a deconstructed example of (stop-motion) animated film that presented in a form of single, unbroken shot sequence. [5] [6] [7]
The film is divided into 13 vignettes, each prefaced by an aphorism.Set in New York City, the story revolves around ambitious district attorney Troy, who is stricken with guilt following a hit and run accident in which he injures Beatrice, an idealistic cleaning woman who, forced to reassess her life during her recuperation, finds herself thinking more like her cynical co-worker Dorrie.