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  2. BERT (language model) - Wikipedia

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

    The high performance of the BERT model could also be attributed [citation needed] to the fact that it is bidirectionally trained. This means that BERT, based on the Transformer model architecture, applies its self-attention mechanism to learn information from a text from the left and right side during training, and consequently gains a deep ...

  3. Microsoft Office shared tools - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Office_shared_tools

    SmartArt, found under the Insert tab in the ribbon in PowerPoint, Word, Excel, and Outlook, is a new group of editable and formatted diagrams. There are 115 preset SmartArt graphics layout templates in categories such as list, process, cycle, and hierarchy.

  4. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  5. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    In September 2022, Meta announced that PyTorch would be governed by the independent PyTorch Foundation, a newly created subsidiary of the Linux Foundation. [ 24 ] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo , a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and ...

  6. Transformer (deep learning architecture) - Wikipedia

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

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  7. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple research from engineering, thus making deep learning experiments easier to read and reproduce.

  8. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    The model attempted to provide developers and users with an advanced natural language processing tool that can effectively retrieve and synthesize online information. [ 34 ] To enable browsing capabilities, OpenAI implemented a new API that allows the GPT-3.5 with Browsing (ALPHA) model to access selected online resources during operation. [ 36 ]

  9. Program evaluation and review technique - Wikipedia

    en.wikipedia.org/wiki/Program_Evaluation_and...

    A network diagram can be created by hand or by using diagram software. There are two types of network diagrams, activity on arrow and activity on node . Activity on node diagrams are generally easier to create and interpret. To create an AON diagram, it is recommended (but not required) to start with a node named start. This "activity" has a ...

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