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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 which was trained to follow human-given instructions (such as an LLM) 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 ...
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.
California wildfire victims are eligible for a one-time $770 payment so they can "quickly purchase" things they might need, President Joe Biden announced Tuesday.. The federal assistance, offered ...
A Nevada man is accused of shooting and killing his girlfriend, who was a beloved tattoo artist. Markeem Benson is charged with open murder in connection with the death of 33-year-old Renise Wolfe ...
SPOILER ALERT: This article contains major plot details from the finale of Edward Berger’s “Conclave.” Megyn Kelly took to X to criticize Edward Berger’s “Conclave” as a “disgusting ...
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)
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation.As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.