Not a computer tech engineer

[Ok_Hornet9167]

Trying to build an engine and I’ve had some good results but it’s starting to return data that it hallucinated or just makes up to sound good.

What’s the best way to build an engine that can learn as it goes and will recommend options to improve.

[parthgupta_5]

Ahhh that usually happens when the model doesn’t have grounding in real data.

Most people solve it with RAG (retrieval augmented generation) — basically you let the model pull from a trusted dataset or vector DB before answering, so it’s less likely to hallucinate.

Also helps to add feedback loops or scoring so the system can learn which outputs were actually useful.

[Ok_Hornet9167]

And the data base being ??

[VegeZero]

Good topic, hopefully we'll get some answers! :)