24/7 Pet Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. 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 ...

  3. MMLU - Wikipedia

    en.wikipedia.org/wiki/MMLU

    Measuring Massive Multitask Language Understanding ( MMLU) is a benchmark for evaluating the capabilities of language models. It consists of about 16,000 multiple-choice questions spanning 57 academic subjects including mathematics, philosophy, law, and medicine. It is one of the most commonly used benchmarks for comparing the capabilities of ...

  4. 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 ...

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Machine learningand data mining. These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning ), computer hardware, and, less ...

  6. 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 ...

  7. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    15,000,000 United States dollar (2022) Number of employees. 170 (2023) Website. huggingface .co. Hugging Face, Inc. is a American company incorporated under the Delaware General Corporation Law [1] and based in New York City that develops computation tools for building applications using machine learning.

  8. 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 ...

  9. 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]