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  2. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    Hugging Face, Inc. is an American company that develops computation tools for building applications using machine learning.It is incorporated under the Delaware General Corporation Law [1] and based in New York City.

  3. 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.

  4. Reliable ‘reasoning’ AI agents may be just around the corner ...

    www.aol.com/finance/reliable-reasoning-ai-agents...

    Innovations made by China’s DeepSeek could soon lead to the creation of AI agents that have strong reasoning skills but are also small enough to run directly on people’s computers and mobile ...

  5. Question answering - Wikipedia

    en.wikipedia.org/wiki/Question_answering

    Accepting natural language questions makes the system more user-friendly, but harder to implement, as there are a variety of question types and the system will have to identify the correct one in order to give a sensible answer. Assigning a question type to the question is a crucial task; the entire answer extraction process relies on finding ...

  6. The race to reproduce DeepSeek's market-breaking AI has begun

    www.aol.com/race-reproduce-deepseeks-market...

    DeepSeek declined to answer a question about Tiananmen Square. DeepSeek/Business Insider David Sacks, the White House's AI czar, offered one reason Perplexity's R1 integration was an important way ...

  7. XLNet - Wikipedia

    en.wikipedia.org/wiki/XLNet

    The XLNet was an autoregressive Transformer designed as an improvement over BERT, with 340M parameters and trained on 33 billion words.It was released on 19 June, 2019, under the Apache 2.0 license. [1]

  8. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-2

    It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...

  9. BLOOM (language model) - Wikipedia

    en.wikipedia.org/wiki/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]