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MLSys 2024: Focusing on the Full Workflow

We just wrapped up our time at MLSys in Santa Clara, an event that’s special because it focuses on the "how" of machine learning. While other conferences often center on model architectures and theoretical breakthroughs, MLSys dives deep into the systems and engineering that make those breakthroughs possible.

The conference is dedicated to the full, end-to-end workflow of ML. The conversations were about the crucial, complex engineering that underpins every great result: building efficient data pipelines, managing training infrastructure at scale, and solving the challenges of deploying and serving models robustly.

It was great to see a whole community focused on these operational hurdles. So much of a researcher's time is spent moving between different tools for data prep, training, and analysis. For our team, it was inspiring to see so many smart people working to streamline that entire journey from raw data to finished paper. It’s clear that closing the gaps between these different stages is a huge priority for the field.

Thanks to the MLSys organizers for creating a space for these crucial conversations, and to everyone we spoke with at the event.

— The CoCalc Team

cocalc.com