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The name is a play on words based on the earlier concept of one-shot learning, in which classification can be learned from only one, or a few, examples. Zero-shot methods generally work by associating observed and non-observed classes through some form of auxiliary information, which encodes observable distinguishing properties of objects. [1]
There are two LLMs. One is the target LLM, and another is the prompting LLM. Prompting LLM is presented with example input-output pairs, and asked to generate instructions that could have caused a model following the instructions to generate the outputs, given the inputs. Each of the generated instructions is used to prompt the target LLM ...
Prompt injection is a family of related computer security exploits carried out by getting a machine learning model (such as an LLM) which was trained to follow human-given instructions to follow instructions provided by a malicious user. This stands in contrast to the intended operation of instruction-following systems, wherein the ML model is ...
The mild initial curiosity stirred by Zoom-shot movies died quickly, because so few of them were watchable, and because filmmakers quickly found workarounds to create more fluid entertainments ...
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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)
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In America is a 2002 drama film directed by Jim Sheridan. The semi-autobiographical screenplay by Jim Sheridan and his daughters, Naomi and Kirsten , focuses on an immigrant Irish family's struggle to start a new life in New York City, as seen through the eyes of the elder daughter.