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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 (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 ...
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.
The below map of evacuation zones is current as of Sunday at 7:30 p.m. ET. The zones highlighted in red are areas under evacuation orders due to the Eaton Fire as of 7:30 p.m. ET on Jan. 12.
The combination of drought-like conditions — Southern California has had less than 10% of average rainfall since Oct. 1 — and powerful offshore winds that hit the region Tuesday prompted fire ...
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.
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 ...
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)