Most AI projects don’t fail in training. They fail when you try to turn them into products. 🚨 The Illusion: “The Model Works” You trained a model: Good accuracy Clean evaluation metrics Solid results So you think: “We’re ready to ship.” But this is where most teams hit a wall. 🧠 The Real Problem A working model ≠ a working product AI products require: Reliability Consistency Usab
From Model to Product: Where AI Projects Actually Break
Siddhartha Reddy·Dev.to··1 min read
D
Continue reading on Dev.to
This article was sourced from Dev.to's RSS feed. Visit the original for the complete story.