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  2. Predictive Model Markup Language - Wikipedia

    en.wikipedia.org/wiki/Predictive_Model_Markup...

    Aggregation: used to summarize or collect groups of values. Model: contains the definition of the data mining model. E.g., A multi-layered feedforward neural network is represented in PMML by a "NeuralNetwork" element which contains attributes such as: Model Name (attribute modelName) Function Name (attribute functionName)

  3. Llama (language model) - Wikipedia

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

    The format focuses on supporting different quantization types, which can reduce memory usage, and increase speed at the expense of lower model precision. [ 63 ] llamafile created by Justine Tunney is an open-source tool that bundles llama.cpp with the model into a single executable file.

  4. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks.Keras was first independent software, then integrated into the TensorFlow library, and later supporting more.

  5. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    All transformers have the same primary components: Tokenizers, which convert text into tokens. Embedding layer, which converts tokens and positions of the tokens into vector representations. Transformer layers, which carry out repeated transformations on the vector representations, extracting more and more linguistic information.

  6. Twisted (software) - Wikipedia

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

    This allows using Twisted as the network layer in graphical user interface (GUI) programs, using all of its libraries without adding a thread-per-socket overhead, as using Python's native library would. A full-fledged web server can be integrated in-process with a GUI program using this model, for example.

  7. 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 ...

  8. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    BSON (/ ˈ b iː s ə n / [2]) is a computer data interchange format. The name "BSON" is based on the term JSON and stands for "Binary JSON". [2] It is a binary form for representing simple or complex data structures including associative arrays (also known as name-value pairs), integer indexed arrays, and a suite of fundamental scalar types.

  9. PHAR (file format) - Wikipedia

    en.wikipedia.org/wiki/PHAR_(file_format)

    Rather than using the ZIP file format the simpler tar format was used, and the first PHAR was created using the tar command line utility [1] as a proof of concept. On June 14, 2004 [ 2 ] the initial PHP_Archive package was proposed to PEAR and on December 13, 2004 it was accepted unanimously.