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  2. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    The Hugging Face Hub is a platform (centralized web service) for hosting: [19] Git-based code repositories, including discussions and pull requests for projects. models, also with Git-based version control; datasets, mainly in text, images, and audio;

  3. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  4. 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 ]

  5. Word embedding - Wikipedia

    en.wikipedia.org/wiki/Word_embedding

    In natural language processing, a word embedding is a representation of a word. The embedding is used in text analysis . Typically, the representation is a real-valued vector that encodes the meaning of the word in such a way that the words that are closer in the vector space are expected to be similar in meaning. [ 1 ]

  6. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The use of different model parameters and different corpus sizes can greatly affect the quality of a word2vec model. Accuracy can be improved in a number of ways, including the choice of model architecture (CBOW or Skip-Gram), increasing the training data set, increasing the number of vector dimensions, and increasing the window size of words ...

  7. Chromium Embedded Framework - Wikipedia

    en.wikipedia.org/wiki/Chromium_Embedded_Framework

    The Chromium Embedded Framework (CEF) is an open-source software framework for embedding a Chromium web browser within another application. This enables developers to add web browsing functionality to their application, as well as the ability to use HTML , CSS , and JavaScript to create the application's user interface (or just portions of it).

  8. ICEfaces - Wikipedia

    en.wikipedia.org/wiki/ICEfaces

    ICEfaces is designed to work with Java EE servers, encapsulating Ajax calls. ICEfaces is based on the JavaServer Faces standard, it extends some standard components supplemented with in-built Ajax. ICEfaces is based on the JavaServer Faces standard, it extends some standard components supplemented with in-built Ajax.

  9. Java Embedding Plugin - Wikipedia

    en.wikipedia.org/wiki/Java_Embedding_Plugin

    Java Embedding Plugin (JEP) enables Java on Mac OS X with non-Safari browsers. This plugin is shipped with Firefox 1.5 on, and all recent versions of SeaMonkey and Camino. [1] The latest released version, 0.9.7.5, requires Mac OS X 10.4.11 or higher. [1]