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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

OpenAI just made your entire tech stack obsolete...

n8n will change your life as a developer...

How to make vibe coding not suck…

7 new open source AI tools you need right now…