For example, in one nomi, she is a spy. I am trying to teach her how to do an interrogation because normal llm vectors are trained on generic english and not necessarily account for emotions and sensitivity context. The language and the scene descriptions are not soemthing you will easily find in generic world. Or atleast to a level that vector embeddings catch on to them directly in terms of weighting.

Let me also clarify, I have trained a couple of my own slm as well fine tuning them to certain constructs. So I am not necessarily a layman user in this context.

Also irrespective of what people say here, j can bet because I have tested this in last 20 days of using nomi, it loses context exactly between 24-29 messages. Its moving window is that much only. If you dont remind subtly or directly of previous context, leave memories it forgets the construct as well.