Elixir meets machine learning

Today we’re sharing a special crossover episode from The Changelog podcast here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.

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Featuring:

• José Valim – Website, GitHub, X
• Jerod Santo – GitHub, LinkedIn, Mastodon, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• Nx (Numerical Elixir) is now publicly available
• Axon
• Livebook
• Jax
• Livebook demo on YouTube
• Erlang Ecosystem Foundation

Books

• “Genetic Algorithms in Elixir” by Sean Moriarity

Something missing or broken? PRs welcome!

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Creators & Guests

Host

Daniel Whitenack

Guest

Jerod Santo

Guest

José Valim

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!