Build Scalable Workflows for LLM Fine-Tuning - LLMOps Workshop

Links to follow along:

Training today's complex AI models requires combining various steps into an interconnected workflow. Modern MLOps/LLMOps 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 cover:

MLOps / LLMOps basics
Fine-tune a Hugging Face LLM model.
Save versioned model
Interact with the fine-tuned LLM


What you'll need to follow along:

A GitHub account
A Google account for Colab


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 some machine learning and Python is 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:

Sage an AI engineer and developer advocate who loves educating people and making ML applications more reliable. He's taught thousands of people during live workshops how to get started with Python, machine learning, computer vision, and AI observability.





Union is an AI platform powered by Flyte that simplifies ML infrastructure so you can develop, deploy, and innovate faster.

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