🎥 Recorded live at the MLOps World | GenAI Summit 2025 — Austin, TX (October 9, 2025) Session Title: A Practical Guide to Fine-Tuning and Deploying Vision Models Speaker: Zac Carrico, Senior Machine Learning Engineer, Apella Talk Track: ML Training Lifecycle Abstract: As video foundation models become central to modern AI systems — from healthcare and robotics to retail and security — MLOps teams are encountering new challenges in efficiently fine-tuning and deploying these large models for domain-specific tasks. In this practical session, Zac Carrico from Apella shares hands-on techniques to fine-tune vision foundation models at scale, without overloading compute resources or sacrificing real-time performance. Using state-of-the-art architectures, Zac demonstrates strategies for data sampling, temporal-aware augmentation, and adapter-based tuning, along with optimization and deployment patterns that make large vision models practical for production use. What you’ll learn: • How to fine-tune large vision models efficiently and reliably • Data sampling and temporal augmentation strategies for video datasets • How to use adapter-based tuning and scalable optimization methods • Best practices for handling long or sparse videos with minimal latency • How to deploy chunk-based inference and temporal fusion modules in production.