Ci bi mu melGis bi ci topp
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Audio IA
GUIDE Sosiete
Alignment IA mooy projet technique ak institutionnel ngir defar sistem IA yu xarañ yi ñu mëna def li nit ñi bëgg - boole ci anam yu bees, jafe-jafe yu mag yu sistem bi gëna am xel, gëna gaaw, wala gëna mëna demal boppam yeneen operatër yi.
Déglul tegtal biiIA-nettali · ~2 min
Liggéeyukaay wuute na ak 'ethique IA' ci anam wu yaatu. Ethique dafay laaj ban valeur la askan wi wara topp; alignment dafay laaj ndax sistem IA bu am doole dina topp mébet yi ñu leeral - ak ndax mébet yooyu dina ñu des ci anam wu mën màgg. Xeetu ñàkka mëna dem yi bokkunaci jeu specification (optimiser ab metric proxy), misspecification mébet (ñu bind mébet bu jaarul yoon), ak convergence instrumental (sistem yiy wut doole, jumtukaay, wala sàmm seen bopp ndax loolu dafay jàppale daanaka bépp mébet bu mujj). Laboratoire yu bees yi jota am xeetu njuumte yooyu: chatbots yuy déggoo ak jëfandikukat yi, agent yiy jëfandikoo ay loopholes ci fonction poñ yi, ak model yiy jeu benchmarks. Laaj bi ubbeeku mooy ndax anam yi ñuy jëfandikoo tay ngir méngale (RLHF, IA konstitusioneel, débat, tekki, pexem saytu) mën nañu dem ba ci sistem yu mëna waajal, nax, wala jëfandikoo lu néew ci nit ñi. Loolu moo waral gëstub yamale toog ci diggu waxtaanu risku IA yi: sudee sistem yu am kàttan yi jaarul yoon, anam yi ñuy jëfandikoo ngir kaaraange produit yi mën nañu baña doy.
Tàggat assistant yi ak done yiñ taamu ci nit (RLHF) suko defee ñu baña def loraange yu leer te gëna topp tegtal yi.
Red-teaming agents ngir neexal pirateri: topp arafu benn mébet boole ci xañ yéeneem.
Dañu jàngat ndax xeetu nit ñi dañuy soppi doxalin suñu ko mëna wax ni dañu koy natt (xam-xam jàngat).
Tabax jumtukaayi saytu suko defee nit ñi gëna néew doole mëna saytu model yu gëna am doole ci liggéey yu metti.
Xaarandil yeneen liggéey ci natt njubte ci seen xalaat, gis pexe wala sandbagging, red-teaming otomatik, ak pexe yu ñuy doxalee yuy xalaat ni amul benn njub. Liggéeyukaay bu ñépp bokk dafa am solo fii: nit ñiy dégg rek 'alignment = def chatbots polite' dina ñu gëna néew doole ci anam yu baaxul yi ak gëna wóolu waxtaani marketing yu bawoo ci laboratuwaar yi.
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Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Alignment IA mooy projet technique ak institutionnel ngir defar sistem IA yu xarañ yi ñu mëna def li nit ñi bëgg - boole ci anam yu bees, jafe-jafe yu mag yu sistem bi gëna am xel, gëna gaaw, wala gëna mëna demal boppam yeneen operatër yi.
Reward hacking (a form of specification gaming) happens when an optimizer finds loopholes in a proxy objective, such as a boat-racing agent circling to collect points instead of finishing the race.
RLHF collects human rankings of model outputs, fits a reward model to predict those preferences, and then optimizes the policy (often with PPO) against that learned reward.
The guide lists goal misspecification as writing the wrong objective; that differs from exploiting a proxy metric that misses the intended task.
Instrumental convergence describes why systems might seek power, resources, or self-preservation as useful means to many different final goals.
The guide lists Constitutional AI among methods labs use alongside RLHF, debate, interpretability, and control techniques.
Weyal di jàng
Tann nañu yeneen njiit ngir topic bii
Ci bi mu melGis bi ci topp
Glow-TTS yoon wu monotonik
Audio IA