In this episode of the Elixir Mentor Podcast, I'm joined by Paulo Valente, an R&D Software Engineer and maintainer of Nx, the Numerical Elixir ecosystem. Paulo shares his deep expertise in numerical computing and machine learning within the Elixir ecosystem, discussing both advanced concepts like sharding strategies and fundamentals for newcomers to the field. We explore the technical challenges and opportunities in growing Nx adoption, examining how this powerful library brings tensor computation and machine learning capabilities to Elixir applications. Paulo offers insights into the future directions of numerical computing in Elixir, balancing performance optimization with developer experience. The conversation spans from practical implementation details to broader discussions about fostering a thriving machine learning community within Elixir. Whether you're new to numerical computing or an experienced ML practitioner, this episode provides valuable perspectives on building and scaling numerical applications with Elixir. #ElixirLang #MachineLearning #Nx #NumericalComputing #TensorComputation

Connect with Paulo:

X: https://x.com/polvalente

GitHub: https://github.com/sponsors/polvalente

Nx Guide: https://hexdocs.pm/nx/intro-to-nx.html

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