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."
Your agent isn't hallucinating. It's reasoning correctly over the wrong inputs. Here's a failure...
When I first started learning machine learning, I believed the model was everything. If my accuracy...
There is a specific failure mode in enterprise RAG deployments that is distinct from hallucination...
Hallucination isn't a model bug you're stuck with. It's almost always a context design problem — and it has a fix.
Getting an AI API request to return a response is only the beginning. For real AI products, the...
I received following comment on my hallucinations blog post. Comment on Why...
