PyTorch and TensorFlow are two tools for building and running machine learning models but they were built with different priorities in mind.
PyTorch by Meta (Facebook)
- Feels like writing normal Python , very intuitive and flexible
- Dynamic computation: see what’s happening step by step
- Favourite of researchers and academics
- Now dominant in AI research GPT, LLaMA, and most new models
TensorFlow by Google
- More structured and rigid steeper learning curve
- Historically better for deploying to phones, servers, browsers
- Was the industry standard for years; PyTorch has since overtaken it
- Ships with Keras on top to make it more approachable
If you’re experimenting or doing research, PyTorch wins..
During model training, we keep running machine learning models on PyTorch and TensorFlow
References
Here’s the full responsibility matrix for the VCF Admin role
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