Tagged
#grounding
4 articles
research
Retrieval-augmented generation (RAG), from first principles
RAG is often explained as a stack of tools. Strip that away and it is one simple idea: let the model read the right material before it answers. Here is how it really works.
#rag#retrieval#embeddings
06-12 14:40·7 min read
tutorials
Add citations to AI answers
Citations turn an unverifiable answer into a checkable one. Here is how to get a model to cite its sources, and to cite them honestly.
#citations#grounding#rag
05-13 17:25·7 min read
tutorials
Reduce hallucinations: a practical checklist
Models invent facts when the task invites them to. This checklist covers the moves that cut hallucinations without pretending you can eliminate them.
#hallucinations#reliability#grounding
05-03 10:46·7 min read
research
Hallucination, explained without the panic
A language model that makes things up is not malfunctioning — it is doing exactly what it was built to do. Here is why hallucination happens and how to manage it.
#hallucination#grounding#reliability
04-23 18:05·7 min read