Tech
Your AI Prototype Is Not a Production System: The Engineering Behind Reliable AI Applications
Your AI Prototype Is Not a Production System: The Engineering Behind Reliable AI Applications
From containerization and deployment pipelines to observability, failure recovery, and scaling — what it actually takes to operate AI software in the real world.
By Ahmed Adawy
An AI application can look impressive during a demonstration and still be a long way from production-ready.
The model returns a useful answer. The API responds correctly. The retrieval pipeline finds relevant doc...
Read the full discussion on Dev.to
This article was aggregated from Dev.to. Click to join the conversation.
View on Dev.to