Learn the controls and knobs

Primary knobs for alignment / RLHF: rater guidelines, preference mixture, KL / stay-close penalty, safety refusal policy, eval harm suite, over-refusal checks.

Write a sheet for the general-purpose chat model with columns: control, current value, predicted benefit, predicted cost, rollback trigger. Fill it using this topic’s real tension: Stronger safety can increase over-refusals. Heavier RL can reduce diversity or degrade niche skills. More rater hours improve signal and raise cost and cultural bias risk.

Change one alignment / RLHF family at a time. If you move two knobs and the general-purpose chat model improves, you learned a cocktail, not a cause—and you cannot roll back surgically.

End users of the general-purpose chat model should see only safe dials related to alignment / RLHF. Infrastructure limits, private prompts, and policy thresholds stay server-owned. A user-facing control that bypasses those limits is a vulnerability dressed as UX for alignment / RLHF.

Publish the alignment / RLHF control sheet next to the general-purpose chat model runbook. On-call should see which knob moved in the last deploy without reading chat archaeology. Unknown alignment / RLHF knobs are unowned knobs.

Also pin one numeric memory from this alignment / RLHF chapter: If raters prefer answer A over B in 62 of 100 pairs, the preference model should rank A higher on held-out pairs; a 50/50 split means the signal is noise for that slice. That number is not decoration; it is a template for how claims about alignment / RLHF on the general-purpose chat model should look in design docs. Scoped specifically to alignment / RLHF / general-purpose chat model / controls-and-knobs.

People confuse alignment / RLHF with neighboring buzzwords when debugging the general-purpose chat model. Before changing prompts, ask whether the broken stage was evidence gathering, the alignment / RLHF judgment itself, validation, or the product action. Fixing the wrong stage creates folklore (“we tried alignment / RLHF and it failed”) that blocks the next team on the general-purpose chat model. Scoped specifically to alignment / RLHF / general-purpose chat model / controls-and-knobs.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to alignment and rlhf rather than generic AI advice.

Write a five-line artifact for this page: goal, inputs, check, owner, stop rule. Invent one fluent failure that the check would catch. Keep details specific to alignment and rlhf rather than generic AI advice.