PyTorch
PyTorch is the leading open-source framework for deep learning. Most modern AI models are trained with it.
PyTorch is an open-source deep learning framework, launched by Meta in 2016 and now under the umbrella of the Linux Foundation. The industry's large language models, including Llama, are predominantly trained with PyTorch.
In a business context, it becomes relevant when open-source models need to be adapted: fine-tuning a Llama model on company data, or building image recognition for the production line. Most courses and tutorials now also rely on it. Its strength lies in the ecosystem around Hugging Face, with hundreds of thousands of pre-trained models as a starting point.
TensorFlow long held a lead in production environments, but that advantage has largely diminished; those starting fresh today usually choose PyTorch. Honestly, most companies don't need either, because AI via API from Claude or OpenAI covers the majority of use cases.
Suitable for teams with data scientists and a genuine need for custom models. Without in-house ML expertise, the rule is: steer clear and use an API.
Functions
- The standard in AI research: new models first appear in PyTorch
- Launched in 2016 at Meta, now independent within the PyTorch Foundation
- Python-native design that quickly makes developers productive
- Basis of the Hugging Face ecosystem with hundreds of thousands of models
- Free and open source
Core Functions
- Building and Training Neural Networks in Python
- Dynamic Computation Graph for Flexible Experimentation and Debugging
- GPU Acceleration for Training and Inference
- Ecosystem with Hugging Face, torchvision, and PyTorch Lightning
- Export and Deployment via TorchServe and ONNX
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