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  2. Llama (language model) - Wikipedia

    en.wikipedia.org/wiki/Llama_(language_model)

    The format focuses on supporting different quantization types, which can reduce memory usage, and increase speed at the expense of lower model precision. [63] llamafile created by Justine Tunney is an open-source tool that bundles llama.cpp with the model into a

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_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.

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    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.

  5. Meta unveils biggest Llama 3 AI model, touting language and ...

    www.aol.com/news/meta-unveils-biggest-llama-3...

    The new Llama 3 model can converse in eight languages, write higher-quality computer code and solve more complex math problems than previous versions, the Facebook parent company said in blog ...

  6. llama.cpp - Wikipedia

    en.wikipedia.org/wiki/Llama.cpp

    The GGUF (GGML Universal File) [30] file format is a binary format that stores both tensors and metadata in a single file, and is designed for fast saving, and loading of model data. [31] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.

  7. Language model - Wikipedia

    en.wikipedia.org/wiki/Language_model

    A language model is a model of natural language. [1] Language models are useful for a variety of tasks, including speech recognition, [2] machine translation, [3] natural language generation (generating more human-like text), optical character recognition, route optimization, [4] handwriting recognition, [5] grammar induction, [6] and information retrieval.

  8. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model. Smaller generative AI models with up to a few billion parameters can run on smartphones , embedded devices, and personal computers .

  9. Natural language generation - Wikipedia

    en.wikipedia.org/wiki/Natural_language_generation

    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 ...