Webinar: Fine-tuning LLMs with MLflow — a practical guide

Join us for a hands-on webinar where we’ll explore how MLflow can streamline your LLM fine-tuning workflow. Learn best practices for experiment tracking, model management and collaboration in LLM projects with MLflow’s powerful features.

Perfect for ML engineers and data scientists looking to implement production-ready LLM solutions.

December 18, Wednesday, 17:00 UTC+1

For who

  • ML engineers and data scientists working with LLMs

  • MLOps engineers managing LLM deployments

  • Technical leads evaluating MLOps tools for LLM projects

  • Teams transitioning from prototype to production LLM applications

You will learn:

  • Practical approaches to organizing LLM fine-tuning experiments.

  • How to make your fine-tuning process reproducible and traceable.

  • Best practices for model versioning and management.

  • Real-world examples of MLflow integration in LLM projects.

  • Streamlining team collaboration in LLM development.

When
December 18, Wednesday, 17:00 (UTC+1). We’ll finish around 18:00 after Q&A part.

Where
Zoom. You will receive the link after registration.

Hosts

Cyril Kondratenko

Solutions Architect

Mikhail Rozhkov

Technical Product Manager