SotaTek

LLM application failures can be divided into two categories: knowledge access problems (the model cannot retrieve the correct information) and behavioral problems (the model has the information but fails to process it as required).

Getting an AI model to work in a demo environment and getting it to operate stably and continuously under real data, production traffic, security constraints, and budget pressure are two completely different engineering propositions

The SotaTek team believes the solution is often not to switch to a better model, but to establish a development process that forces problems to surface before they become production incidents

The article proposes a mental model: production-grade AI = model + data + application + integration + evaluation + security + operations, and missing any single layer can turn a prototype into a system that is difficult to maintain or trust