le_james94

Marengo 3.0 represents a fundamental shift from benchmark optimization to production-grade video understanding. By natively supporting multilingual content, composed queries, hour-long videos, and specialized domains like sports—while maintaining leadership on general benchmarks—we have built a foundation model that scales with real-world complexity.

The portion of ML code in a real-world ML system is a lot smaller than the infrastructure needed for its support. In this blog post, I would like to share the 7 questions that you and your colleagues should ask to handle deep learning technical debt.