Explore how open-source Metaflow powers ML systems at major companies and its role in integrating Generative AI into existing applications and new product experiences. Learn about the engineering and infrastructure requirements for companies aiming to own models and user experiences, going beyond commercial APIs. Gain insights into Metaflow's capabilities in building novel AI-powered systems, including large-scale data engineering, model training, content embedding, and inference. Discover changes in ML stacks, with a focus on increasing compute needs, and hear about real-life large-scale AI use cases and their interoperability with existing data and ML systems. This 47-minute talk by Ville Tuulos, CEO of Outerbounds, provides a comprehensive overview of Metaflow's role in the evolving landscape of Machine Learning and Generative AI.
Overview
Syllabus
Building ML and GenAI Systems with Metaflow
Taught by
MLOps World: Machine Learning in Production
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