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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]
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 hybrid is a type of club used in the sport of golf with a design borrowing from both irons and woods while differing from both. The name "hybrid" comes from genetics to denote a mixture of two different species with desirable characteristics of both, and the term here has been generalized, combining the familiar swing mechanics of an iron with the more forgiving nature and better distance of ...
Insemination of a female llama with sperm from a male dromedary camel has been the only successful combination. Inseminating a female camel with llama sperm has not produced viable offspring. [6] [7] The first cama showed signs of becoming sexually mature at age four, when he showed a desire to breed with a female guanaco and a female llama. He ...
Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4] A slightly-modified version of the algorithm is used in large language model tokenizers.