That’s not how it works at all. You are talking about “thinking” models, which are just models prompting themselves.
LLMs are fancy next word predictors. It’s just returning what mathematically is the next likely word given their training set (really token since it doesn’t actually understand words).
I’m not sure what part of my "explain like I’m five " version you’re taking issue with enough to correct me. You may want to clarify if you feel I’ve misinformed.
To my read, you just restated what I was trying to make more accessible.
Edit: I added some air quotes to help clarify that the terms I used are for illustration only.
That’s not how it works at all. You are talking about “thinking” models, which are just models prompting themselves.
LLMs are fancy next word predictors. It’s just returning what mathematically is the next likely word given their training set (really token since it doesn’t actually understand words).
I’m not sure what part of my "explain like I’m five " version you’re taking issue with enough to correct me. You may want to clarify if you feel I’ve misinformed.
To my read, you just restated what I was trying to make more accessible.
Edit: I added some air quotes to help clarify that the terms I used are for illustration only.