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  2. 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. [ 23 ] 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 ...

  3. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    A key reason for why the architecture is preferred by most modern LLMs is the parallelizability of the architecture over its predecessors. This ensures that the operations necessary for training can be accelerated on a GPU allowing both faster training times and models of bigger sizes to be trained.

  4. 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.

  5. Torch (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Torch_(machine_learning)

    The torch package also simplifies object-oriented programming and serialization by providing various convenience functions which are used throughout its packages. The torch.class(classname, parentclass) function can be used to create object factories ().

  6. MacBook Air (Apple silicon) - Wikipedia

    en.wikipedia.org/wiki/MacBook_Air_(Apple_silicon)

    MacBook Air (M1, 2020) On November 10, 2020, Apple announced an updated MacBook Air with an Apple-designed M1 system-on-a-chip (SoC), launched alongside an updated Mac Mini and 13-inch MacBook Pro as the first Macs with Apple's new line of custom ARM-based Apple silicon processors. [6]

  7. Neural processing unit - Wikipedia

    en.wikipedia.org/wiki/Neural_processing_unit

    A neural processing unit (NPU), also known as AI accelerator or deep learning processor, is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.

  8. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Learning algorithms for neural networks use local search to choose the weights that will get the right output for each input during training. The most common training technique is the backpropagation algorithm. [105] Neural networks learn to model complex relationships between inputs and outputs and find patterns in data. In theory, a neural ...

  9. Apple M2 - Wikipedia

    en.wikipedia.org/wiki/Apple_M2

    Apple M2 is a series of ARM-based system on a chip (SoC) designed by Apple Inc., launched 2022 to 2023. It is part of the Apple silicon series, as a central processing unit (CPU) and graphics processing unit (GPU) for its Mac desktops and notebooks , the iPad Pro and iPad Air tablets , and the Vision Pro mixed reality headset.