One of the most expensive debugging mistakes in AI systems is assuming the model is the problem. A...
One of the most expensive debugging mistakes in AI systems is assuming the model is the problem.
A user receives a bad answer.
The response looks wrong.
The immediate reaction is usually:
"The model hallucinated."
Hallucination isn't a model bug you're stuck with. It's almost always a context design problem — and it has a fix.
I received following comment on my hallucinations blog post. Comment on Why...
AI can make mistakes, models hallucinate, models make stuff up - those are well-known complaints. Yet...
There's a question every system runs into the moment it goes to production and starts doing real...
Hallucination Detection Is Not a Model Problem—It's an Architecture Problem Every week...
Learn how context retrieval works in AI agents, why basic RAG fails at scale, and how Redis supports reliable retrieval with…
