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  2. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    The ReAct pattern, a portmanteau of "Reason + Act", constructs an agent out of an LLM, using the LLM as a planner. The LLM is prompted to "think out loud". The LLM is prompted to "think out loud". Specifically, the language model is prompted with a textual description of the environment, a goal, a list of possible actions, and a record of the ...

  3. Llama (language model) - Wikipedia

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

    [8] [3] Unauthorized copies of the first model were shared via BitTorrent. [9] Subsequent versions of Llama were made accessible outside academia and released under licenses that permitted some commercial use. [10] [7] Alongside the release of Llama 3, Meta added virtual assistant features to Facebook and WhatsApp in select regions, and a ...

  4. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]

  5. 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 ]

  6. IronPython - Wikipedia

    en.wikipedia.org/wiki/IronPython

    It is free and open-source software, and can be implemented with Python Tools for Visual Studio, which is a free and open-source extension for Microsoft's Visual Studio IDE. [ 2 ] [ 3 ] IronPython is written entirely in C# , although some of its code is automatically generated by a code generator written in Python.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Embedding vectors created using the Word2vec algorithm have some advantages compared to earlier algorithms [1] such as those using n-grams and latent semantic analysis. GloVe was developed by a team at Stanford specifically as a competitor, and the original paper noted multiple improvements of GloVe over word2vec. [ 9 ]

  8. The Pile (dataset) - Wikipedia

    en.wikipedia.org/wiki/The_Pile_(dataset)

    The Pile was originally developed to train EleutherAI's GPT-Neo models [8] [9] [10] but has become widely used to train other models, including Microsoft's Megatron-Turing Natural Language Generation, [11] [12] Meta AI's Open Pre-trained Transformers, [13] LLaMA, [14] and Galactica, [15] Stanford University's BioMedLM 2.7B, [16] the Beijing ...

  9. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    LeNet-5 (1998), a 7-level CNN by Yann LeCun et al., that classifies digits, was applied by several banks to recognize hand-written numbers on checks digitized in 32×32 pixel images. [ 57 ] From 1988 onward, [ 58 ] [ 59 ] the use of neural networks transformed the field of protein structure prediction , in particular when the first cascading ...

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