The Gap Between a Model That Works and a Model That Ships
By Sahana P, Edge AI Engineer at WG Tech Solutions Trained Once, Shipped Twice Many AI models achieve excellent validation accuracy but never make it into production. The reason often has little to do with the model itself. Training produces one artifact, a set of weights that scored well against a validation set. Shipping it requires a second and mostly invisible round of work on that same artifact, where you shrink its precision, cut the parts it doesn't actually need, and export it into...
