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The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Home Page: https://www.youtube.com/c/TheAIEpiphany/

License: MIT License

Jupyter Notebook 100.00%
jax deep-learning machine-learning numpy xla lax python jupyter learn-jax flax

get-started-with-jax's Introduction


I'm an ex Research Engineer at Google DeepMind & Microsoft, I run the The AI Epiphany community - and I'm currently in the process of building my first startup Runa AI. I'm also a proud father of 16 A100s and 16 H100s (generously sponsored by Together AI & Hyperstack respectively).

Latest:
* YugoGPT - trained SOTA 7B LLM for Croatian, Bosnian, Serbian, Montenegrin langs
* SlovenianGPT - trained SOTA 7B LLM for Slovenian language
* YugoChat - talk to YugoGPT
* First Serbian LLM eval
* Open-NLLB - Replicating Meta's "no language left behind" machine translation (MT) project

Most recent OSS contributions:

  • airoboros - synthetic instruction following data generation framework

My older recent projects:


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