Thomas J. Fan
400 112th Avenue Northeast #115 Bellevue, WA 98004

Build Scalable Workflows for Large Language Models (LLMs) - workshop

Build Scalable Workflows for Large Language Models (LLMs) - workshop

Join this hands-on workshop at the office in Bellevue to implement scalable workflows for LLMs.

Training today's complex AI models requires combining various steps into an interconnected workflow. Modern MLOps tooling helps you scale your AI training by orchestrating these workflows. Great tooling provides a reliable framework for your machine learning operations by streamlining processes, increasing efficiency, and adding reproducibility,

This workshop will equip you with the skills to harness these benefits effectively and show you how to build AI workflows for LLMs using, Hugging Face, and Weights and Biases.

Doors open at 5:30 pm for arrival and networking. Workshop will begin at 6:00pm.

This workshop will cover

  • MLOps / LLMOps basics
  • Fine-tune a Hugging Face LLM model.
  • Build a scalable workflow using (powered by Flyte).
  • Integrate with Weights & Biases for experiment management.

What you'll need to follow along

  • A free account (Link provided at workshop)
  • A GitHub account to use Code Spaces

Who should attend

Anyone interested in building scalable AI applications with LLMs should attend. This workshop is designed to be approachable for most skill levels. Familiarity with machine learning and Python is strongly encouraged.

By the end of this workshop, you'll be able to build scalable AI workflows for large language models (LLMs) and learn how to bring these techniques into your MLOps stack.

About the speaker

Thomas J. Fan is a senior machine learning engineer at Union and a maintainer for scikit-learn. At scikit-learn, he led the development of DataFrame interoperability and GPU support through PyTorch. Previously, as a researcher at Columbia University, Thomas collaborated with NASA to automate machine learning workflows.

About the venue

This event is in person at the office in Bellevue. We'll provide more detailed instruction leading up to the workshop. It is near transit and parking


Union is an open AI orchestration platform that simplifies AI infrastructure so you can develop, deploy, and innovate faster. Unlike popular—but simple—AI engineering orchestrators, Union wrangles the infrastructure setup and management as well.

Write your code in Python, collaborate across departments, and enjoy full reproducibility and auditability. Union lets you focus on what matters.

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