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Llama (Large Language Model Meta AI, formerly stylized as LLaMA) is a family of large language models (LLMs) released by Meta AI starting in February 2023. [2] [3] The latest version is Llama 3.3, released in December 2024. [4] Llama models are trained at different parameter sizes, ranging between 1B and 405B. [5]
llama.cpp is an open source software library that performs inference on various large language models such as Llama. [3] It is co-developed alongside the GGML project, a general-purpose tensor library. [4] Command-line tools are included with the library, [5] alongside a server with a simple web interface. [6] [7]
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.
Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
Proponents of fair use training have argued that it is a transformative use and does not involve making copies of copyrighted works available to the public. [110] Critics have argued that image generators such as Midjourney can create nearly-identical copies of some copyrighted images, [ 111 ] and that generative AI programs compete with the ...
Unicode currently covers most major writing systems in use today. [ 12 ] [ 13 ] As of 2024 [update] , a total of 168 scripts [ 14 ] are included in the latest version of Unicode (covering alphabets , abugidas and syllabaries ), although there are still scripts that are not yet encoded, particularly those mainly used in historical, liturgical ...
According to one user, who had access to a private early release of the OpenAI GPT-3 API, GPT-3 was "eerily good" at writing "amazingly coherent text" with only a few simple prompts. [20] In an initial experiment 80 US subjects were asked to judge if short ~200 word articles were written by humans or GPT-3.
Parsing, syntax analysis, or syntactic analysis is a process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar by breaking it into parts.