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  2. Llama (language model) - Wikipedia

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

    Foundation model. License. Meta Llama 3 Community License [ 1] Website. llama .meta .com. Llama (acronym for Large Language Model Meta AI, and formerly stylized as LLaMA) is a family of autoregressive large language models (LLMs) released by Meta AI starting in February 2023. [ 2][ 3] The latest version is Llama 3.1, released in July 2024. [ 4]

  3. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    LLMs are artificial neural networks that utilize the transformer architecture, invented in 2017. The largest and most capable LLMs, as of June 2024, are built with a decoder-only transformer-based architecture, which enables efficient processing and generation of large-scale text data. Historically, up to 2020, fine-tuning was the primary ...

  4. BLOOM (language model) - Wikipedia

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

    BLOOM (language model) BigScience Large Open-science Open-access Multilingual Language Model ( BLOOM) [1] [2] is a 176-billion-parameter transformer -based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [3] BLOOM was trained on approximately 366 ...

  5. Mistral AI - Wikipedia

    en.wikipedia.org/wiki/Mistral_AI

    Mistral AI is a French company specializing in artificial intelligence (AI) products. Founded in April 2023 by former employees of Meta Platforms and Google DeepMind, [1] the company has quickly risen to prominence in the AI sector. The company focuses on producing open source large language models, [2] emphasizing the foundational importance ...

  6. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    v. t. e. In machine learning, reinforcement learning from human feedback ( RLHF) is a technique to align an intelligent agent to human preferences. It involves training a reward model to represent human preferences, which can then be used to train other models through reinforcement learning . In classical reinforcement learning, an intelligent ...

  7. New Study Reveals The Best and Worst Dog Breeds and Pet ... - AOL

    www.aol.com/lifestyle/study-reveals-best-worst...

    With Havanese, French Bulldogs, and Cavalier King Charles Spaniels following close behind. The top best behaved breeds were Labs, Rottweilers, Shih Tzus, Cane Corsos, and Golden Retrievers ...

  8. Fine-tuning (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Fine-tuning_(deep_learning)

    In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (or, not changed during the backpropagation ...

  9. Vicuna LLM - Wikipedia

    en.wikipedia.org/wiki/Vicuna_LLM

    Vicuna LLM is an omnibus Large Language Model used in AI research. [1] Its methodology is to enable the public at large to contrast and compare the accuracy of LLMs "in the wild" (an example of citizen science) and to vote on their output; a question-and-answer chat format is used. At the beginning of each round two LLM chatbots from a diverse ...