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.