PyTorch
Dynamic neural network framework from Meta — the dominant platform for ML research and increasingly for production.
PyTorch’s dynamic computation graph (“define-by-run”) makes debugging neural networks intuitive — you use standard Python control flow and print statements. It became the dominant framework for ML research and, with TorchServe and TorchDeploy, is now widely used in production at Meta, Tesla, and OpenAI. Most modern LLMs are built and trained in PyTorch.
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mlaideep-learningresearchgpupythonmetadynamic