4 posts tagged with "AIEngineering"
Prompts are code. They need version control, testing, deployment pipelines, and rollback strategies. Most teams treat them like config files and wonder why their AI quality is inconsistent. Here is how to manage prompts properly.
Chunking is the step most teams rush past when building RAG systems. The wrong chunking strategy makes your search retrieve the right document but the wrong passage — and the LLM hallucinates the rest. Here is what works.
Deploying Azure OpenAI in a demo is easy. Running it in production at scale is a different problem. Here are the seven failure modes we hit repeatedly — and how to fix them before they hit you.
Your AI app can fail even when nothing is technically broken. The server is healthy, the API is fast, the dashboards are green — but your chatbot still gives a completely wrong answer. That is the weird thing about GenAI systems.
