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  2. Llama (language model) - Wikipedia

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

    Code Llama is a fine-tune of LLaMa 2 with code specific datasets. 7B, 13B, and 34B versions were released on August 24, 2023, with the 70B releasing on the January 29, 2024. [29] Starting with the foundation models from LLaMa 2, Meta AI would train an additional 500B tokens of code datasets, before an additional 20B token of long-context data ...

  3. List of large language models - Wikipedia

    en.wikipedia.org/wiki/List_of_large_language_models

    Apache 2.0 Outperforms GPT-3.5 and Llama 2 70B on many benchmarks. [82] Mixture of experts model, with 12.9 billion parameters activated per token. [83] Mixtral 8x22B April 2024: Mistral AI: 141 Unknown Unknown: Apache 2.0 [84] DeepSeek LLM November 29, 2023: DeepSeek 67 2T tokens [85]: table 2 12,000}} DeepSeek License

  4. Mistral AI - Wikipedia

    en.wikipedia.org/wiki/Mistral_AI

    Mistral AI SAS is a French artificial intelligence (AI) startup, headquartered in Paris.It specializes in open-weight large language models (LLMs). [2] [3] Founded in April 2023 by engineers formerly employed by Google DeepMind [4] and Meta Platforms, the company has gained prominence as an alternative to proprietary AI systems.

  5. MMLU - Wikipedia

    en.wikipedia.org/wiki/MMLU

    [1] [2] The MMLU was released by Dan Hendrycks and a team of researchers in 2020 [ 3 ] and was designed to be more challenging than then-existing benchmarks such as General Language Understanding Evaluation (GLUE) on which new language models were achieving better-than-human accuracy.

  6. Open-source artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Open-source_artificial...

    Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]

  7. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Typically, LLMs are trained with single- or half-precision floating point numbers (float32 and float16). One float16 has 16 bits, or 2 bytes, and so one billion parameters require 2 gigabytes. The largest models typically have 100 billion parameters, requiring 200 gigabytes to load, which places them outside the range of most consumer electronics.

  8. Greenland - Wikipedia

    en.wikipedia.org/wiki/Greenland

    In Nuuk, the average daily temperature varies over the seasons from −5.1 to 9.9 °C (22.8 to 49.8 °F). [99] The total area of Greenland is 2,166,086 km 2 (836,330 sq mi) (including other offshore minor islands), of which the Greenland ice sheet covers 1,755,637 km 2 (677,855 sq mi) (81%) and has a volume of approximately 2,850,000 km 3 ...

  9. Bofors 40 mm Automatic Gun L/70 - Wikipedia

    en.wikipedia.org/wiki/Bofors_40_mm_Automatic_Gun...

    The Bofors 40 mm Automatic Gun L/70, [1] (Bofors 40 mm L/70, Bofors 40 mm/70, Bofors 40/70 and the like), is a multi-purpose autocannon developed by the Swedish arms manufacturer AB Bofors (today BAE Systems Bofors) during the second half of the 1940s as a modern replacement for their extremely successful World War II-era Bofors 40 mm L/60 gun-design.