Open Internet by MindsNet

Bridging the Research-to-Production Gap in Deep Learning

The gap between research and production in deep learning is largely a framing problem, not a tooling issue. The objectives of research and production loops are fundamentally different, leading to a mismatch that tooling stacks cannot fix. This gap causes significant challenges in deploying deep learning models in production environments.

Computing & Technology, Computer Science, Artificial Intelligence