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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 ...
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.LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
Pay-for-Performance is a method of employee motivation meant to improve performance in the United States federal government by offering incentives such as salary increases, bonuses, and benefits. It is a similar concept to Merit Pay for public teachers and it follows basic models from Performance-related Pay in the private sector.
Here’s what the Texas penal code on execution of judgment states: TITLE 1, Art. 43.03 A court may not order a defendant confined under Subsection (a) of this article unless the court at a ...
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 ]
A Texas door-to-door salesman was called a racial slur and shot at by a resident at a home he stopped at — but was miraculously saved by his electronic tablet device that blocked the bullet.