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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]
Multilingual [70] PaLM 2 (Pathways Language Model 2) May 2023: Google: 340 [71] 3.6 trillion tokens [71] 85,000 [57] Proprietary Was used in Bard chatbot. [72] Llama 2: July 2023: Meta AI: 70 [73] 2 trillion tokens [73] 21,000: Llama 2 license 1.7 million A100-hours. [74] Claude 2: July 2023: Anthropic Unknown Unknown Unknown: Proprietary Used ...
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 ...
DeepSeek [a] (Chinese: 深度求索; pinyin: Shēndù Qiúsuǒ) is a Chinese artificial intelligence company that develops open-source large language models (LLMs). Based in Hangzhou, Zhejiang, it is owned and funded by Chinese hedge fund High-Flyer, whose co-founder, Liang Wenfeng, established the company in 2023 and serves as its CEO.
The following examples are taken from the "Abstract Algebra" and "International Law" tasks, respectively. [3]The correct answers are marked in boldface: Find all in such that [] / (+) is a field.
Mistral AI was established in April 2023 by three French AI researchers: Arthur Mensch, Guillaume Lample and Timothée Lacroix. [17] Mensch, a former researcher at Google DeepMind, brought expertise in advanced AI systems, while Lample and Lacroix contributed their experience from Meta Platforms, [18] where they specialized in developing large-scale AI models.
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.
Open-source machine translation models have paved the way for multilingual support in applications across industries. Hugging Face's MarianMT is a prominent example, providing support for a wide range of language pairs, becoming a valuable tool for translation and global communication. [ 64 ]