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JAX is a Python library similar to NumPy for scientific computing and linear algebra, but designed to run on accelerators like Cuda-based GPUs and Google's TPUs. 

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🔗 Resources

Google JAX on GitHub https://github.com/google/jax
Tensorflow in 100 Seconds https://youtu.be/i8NETqtGHms
Cuda in 100 Seconds https://youtu.be/pPStdjuYzSI
GPU vs TPU https://youtu.be/r5NQecwZs1A


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🔖 Topics Covered

- JAX basics tutorial
- How does JAX work?
- JAXPpython explained quickly
- Pytorch alternative
- Tensorflow vs JAX
- How is calculus used on Machine Learning

JAX in 100 Seconds

Millions of JS devs just got penetrated by a RAT…

Google just changed the future of UI/UX design...

Cursor ditches VS Code, but not everyone is happy...

The greatest unsolved problem in computer science...