Elixir Wizards

Nx and Machine Learning in Elixir with Sean Moriarity


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Today on Elixir Wizards, hosts Sundi Myint and Charles Suggs catch up with Sean Moriarity, co-creator of the Nx project and author of Machine Learning in Elixir. Sean reflects on his transition from the military to a civilian job building large language models (LLMs) for software. He explains how the Elixir ML landscape has evolved since the rise of ChatGPT, shifting from building native model implementations toward orchestrating best-in-class tools.

We discuss the pragmatics of adding ML to Elixir apps: when to start with out-of-the-box LLMs vs. rolling your own, how to hook into Python-based libraries, and how to tap Elixir’s distributed computing for scalable workloads. Sean closes with advice for developers embarking on Elixir ML projects, from picking motivating use cases to experimenting with domain-specific languages for AI-driven workflows.

Key topics discussed in this episode:
  • The evolution of the Nx (Numerical Elixir) project and what's new with ML in Elixir
  • Treating Elixir as an orchestration layer for external ML tools
  • When to rely on off-the-shelf LLMs vs. custom models
  • Strategies for integrating Elixir with Python-based ML libraries
  • Leveraging Elixir’s distributed computing strengths for ML tasks
  • Starting ML projects with existing data considerations
  • Synthetic data generation using large language models
  • Exploring DSLs to streamline AI-powered business logic
  • Balancing custom frameworks and service-based approaches in production
  • Pragmatic advice for getting started with ML in Elixir
  • Links mentioned:

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

    https://pragprog.com/titles/smelixir/machine-learning-in-elixir/
    https://magic.dev/
    https://smartlogic.io/podcast/elixir-wizards/s10-e10-sean-moriarity-machine-learning-elixir/
    Pragmatic Bookshelf: https://pragprog.com/
    ONNX Runtime Bindings for Elixir: https://github.com/elixir-nx/ortex
    https://github.com/elixir-nx/bumblebee
    Silero Voice Activity Detector: https://github.com/snakers4/silero-vad
    Paulo Valente Graph Splitting Article: https://dockyard.com/blog/2024/11/06/2024/nx-sharding-update-part-1
    Thomas Millar's Twitter https://x.com/thmsmlr
    https://github.com/thmsmlr/instructor_ex
    https://phoenix.new/
    https://tidewave.ai/
    https://en.wikipedia.org/wiki/BERT_(language_model)
    Talk: PyTorch: Fast Differentiable Dynamic Graphs in Python by Soumith Chintala
    https://hexdocs.pm/axon/Axon.html
    https://hexdocs.pm/exla/EXLA.html
    VLM (Vision Language Models Explained): https://huggingface.co/blog/vlms
    https://github.com/ggml-org/llama.cpp
    Vector Search in Elixir: https://github.com/elixir-nx/hnswlib
    https://www.amplified.ai/
    Llama 4 https://mistral.ai/

    Mistral Open-Source LLMs: https://mistral.ai/
    https://github.com/openai/whisper
    Elixir Wizards Season 5: Adopting Elixir https://smartlogic.io/podcast/elixir-wizards/season-five
    https://docs.ray.io/en/latest/ray-overview/index.html
    https://hexdocs.pm/flame/FLAME.html
    https://firecracker-microvm.github.io/
    https://fly.io/
    https://kubernetes.io/
    WireGuard VPNs https://www.wireguard.com/
    https://hexdocs.pm/phoenixpubsub/Phoenix.PubSub.html
    https://www.manning.com/books/deep-learning-with-python
    Code BEAM 2025 Keynote: Designing LLM Native Systems - Sean Moriarity
    Ash Framework https://ash-hq.org/
    Sean’s Twitter: https://x.com/seanmoriarity
    Sean’s Personal Blog: https://seanmoriarity.com/

    Erlang Ecosystems Foundation Slack: https://erlef.org/slack-invite/erlef
    Elixir Forum https://elixirforum.com/
    Sean’s LinkedIn: https://www.linkedin.com/in/sean-m-ba231a149/

    Special Guest: Sean Moriarity.

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