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2. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [ 2 ] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

3. Open-source artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Open-source_artificial...

   These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1] Free and open-source software (FOSS) licenses, such as the Apache License, MIT License, and GNU General Public License, outline the terms under which open-source ...

4. GitHub Copilot - Wikipedia

   en.wikipedia.org/wiki/GitHub_Copilot

   GitHub Copilot was initially powered by the OpenAI Codex, [13] which is a modified, production version of the Generative Pre-trained Transformer 3 (GPT-3), a language model using deep-learning to produce human-like text. [14]

5. List of free and open-source software packages - Wikipedia

   en.wikipedia.org/wiki/List_of_free_and_open...

   This is a list of free and open-source software packages (), computer software licensed under free software licenses and open-source licenses.Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. [1]

6. PyTorch - Wikipedia

   en.wikipedia.org/wiki/PyTorch

   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 inference performance across major cloud platforms.

7. TensorFlow - Wikipedia

   en.wikipedia.org/wiki/TensorFlow

   TensorFlow is a software library for machine learning and artificial intelligence. It can be used across a range of tasks, but is used mainly for training and inference of neural networks. [3] [4] It is one of the most popular deep learning frameworks, alongside others such as PyTorch and PaddlePaddle.