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  2. 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]

  3. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    The Transformers library is a Python package that contains open-source implementations of transformer models for text, image, and audio tasks. It is compatible with the PyTorch , TensorFlow and JAX deep learning libraries and includes implementations of notable models like BERT and GPT-2 . [ 16 ]

  4. Selenium (software) - Wikipedia

    en.wikipedia.org/wiki/Selenium_(software)

    Selenium Grid is a server that allows tests to use web browser instances running on remote machines. With Selenium Grid, one server acts as the central hub. Tests contact the hub to obtain access to browser instances. The hub has a list of servers that provide access to browser instances (WebDriver nodes), and lets tests use these instances.

  5. Immediately invoked function expression - Wikipedia

    en.wikipedia.org/wiki/Immediately_invoked...

    Immediately invoked function expressions may be written in a number of different ways. [3] A common convention is to enclose the function expression – and optionally its invocation operator – with the grouping operator, [4] in parentheses, to tell the parser explicitly to expect an expression.

  6. 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.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    The reasons for successful word embedding learning in the word2vec framework are poorly understood. Goldberg and Levy point out that the word2vec objective function causes words that occur in similar contexts to have similar embeddings (as measured by cosine similarity) and note that this is in line with J. R. Firth's distributional hypothesis ...

  8. Pair programming - Wikipedia

    en.wikipedia.org/wiki/Pair_programming

    Pair programming Pair Programming, 2009. Pair programming is a software development technique in which two programmers work together at one workstation. One, the driver, writes code while the other, the observer or navigator, [1] reviews each line of code as it is typed in.

  9. 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).