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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.
Wikipedia:Computer-generated content, a draft of a proposed policy on using computer-generated content in general on Wikipedia; Wikipedia:Using neural network language models on Wikipedia, an essay about large language models specifically; Artwork title, a surviving article initially developed from raw LLM output (before this page had been ...
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 ...
Donald Knuth - The Art of Computer Programming; Ellen Ullman - Close to the Machine; Ellis Horowitz - Fundamentals of Computer Algorithms; Eric Raymond - The Art of Unix Programming; Gerald M. Weinberg - The Psychology of Computer Programming; James Gosling - The Java Programming Language; Joel Spolsky - The Best Software Writing I
The “author” of a “computer-generated work” (CGW) is defined as “the person by whom the arrangements necessary for the creation of the work are undertaken”. Protection lasts for 50 years from the date the work is made. Both maintain the view AI systems do not have a legal personhood and they cannot hold the copyright on their own.
The ACM SIGSOFT Software Engineering Notes (SEN) is published by the Association for Computing Machinery (ACM) for the Special Interest Group on Software Engineering (SIGSOFT). [1] It was established in 1976, and the first issue appeared in May 1976. [2] It provides a forum for informal articles and other information on software engineering.
In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis.Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [1]
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3]