What Is RLCD? The Secret Behind Jev
di-zhang-llm.github.io> The operational signal was always relative preference. The scalar merely hid it.
Is this another Claude-ism? "X was always Y. The Z merely hid it." Or am I overcalling it?
You're right to question this and OP shouldn't have done it.
not overcalling, it’s rife with claudisms
RLCD, not defined in the article, is Reinforcement Learning for Calibrated Decisions.
Ah, so not Reflective LCD [1] then.
[1] https://www.e3displays.com/reflective-lcd-display-monitor/
If you need any background info on Jev read this:
Yeah the calibration is really what makes it useful in practice for quick, small decisions. Asking a LLM to give scores to a problem will yield inconsistently scaled/anchored results that changes at a whim.
The blog is pretty heavy on statistics. I'll have to study it more when I have time. Is it essentially bootstrapping results to statistically normalize the answers?
I have not studied it properly too. Good that it has both code and note though.