Self-Refine Yokkateg Sorti Iteratif
Self-Refine xarala la buy yee nit ñi, fu modelu làkk bi di ŋàññi limu génne ba noppi binndaat ko, di def loop ba tontu bi gëna baax.
Résumé
It matters because models can often spot and fix their own mistakes without any extra training or human feedback.
Plongeur bu xóot
Self-Refine, bi Madaan ak ay naataango dugal ci 2023, dafay doxal benn xeetu mbir ci ñatti cër: defarkat, ŋàññikat, ak xoolaatkat. Li njëkk mooy model bi defar tontu bu njëkk. Ginaaw loolu ñu laaj ko mu joxe feedback bu leer, buñu mëna jëfandikoo ci tontu boobu (lu melni, "kod bii amul njuumte ci jëfandikoo" wala "resumé bii ñàkk na lim bi"). Fi muy mujjee mooy binndaat tontu li ci feedback bi. Dafay baamtu cycle bi ba keroog model bi xamni génne gi doyna wala ñu yegg ci àppu jéego bi. Li gëna am solo mooy, soxla wuñu beneen tàggat, xeetu neexal, wala jumtukaay bu bawoo ci biti, lu am xel rek lay laaj. Ci liggéey yu melni optimisation kode, waxtaan, ak binndaat sentiment, loop bi dafa gëna baaxal kalite bi ci benn yoon.
Gis-gis xarala
Xeetu mekanism bi gëna am solo mooy jëfandikoo model bi ni oracle feedback boppam. Generation ak critique dañuy jëfandikoo ay laaj yu wuute, moo tax model bi dafay jàngat ci kaadar bu bees moo gën di taxawu projet bi njëkk. Xalaat yi dañu wara leer te mën nañu ko jëfandikoo, te baña yam ci "gëna baax" ndax ŋàññi bu leerul dafay jur coppite yu leerul. Taarix bi yépp (projet bi ak feedback yépp) dañu koy joxewaat, loolu mooy jox reviseur bi contexte. Gain yi dañu gëna rëy sudee model bi mën na gis fi yaxxu bi mu defar.
njeextalu pexe
Gaawaay ak yaatuwaay
Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
Dugg ak yegg
Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
dogal yu gëna leer
Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Ëlëg Self-Refine Iterative Yokkateg Sorti
Self-Refine mingi nekk luy tabax sistem agentik yi, fu model yi di defaraat, natt, ak defar kode wala ay pexe balaa ñuy jëfandikoo. Xaarandi lëkkaloo bu gëna dëgër ak saytukat yi ci biti (test yu benn, kalkulatër, seetlu) suko defee ŋàññi gi nekk ci siñaal yu dëggu yi, du ci xalaatu model bi. Gëstu bi dafay saytu kañ la self-critique di jàppale ak kañ la model yi di dëgër boppu baamtu njuumte yi, ak njiit yuy méngoo yuy jël dogal ci ñaata yoon lañu wara defar benn liggéey ngir mëna ekilibre kalite bi ak njëg bi.
Doxal ci àdduna dëgg
Yokkatal kode biñ defar ci am model flag bu ñàkk cas boor yi, ba noppi binndaat fonction bi ngir jëfandikoo leen
Poliseer ab projet de email wala essay ci sa bopp di ŋàññi ak leer, ba noppi nga xoolaat ko ngir nit ñi ngay wut
Xool bu baax jéego bu nekk ak saafara njuumti yi ci xayma
Setal ab tontub ndimbalu kiliyaan suko defee mu tontu ci saasi laaju jëfandikukat bi ci plaasu joxe tontu bu amul benn werante
Risk yi ak balustrade yi
Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Roadmap ngir samp gi
Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
Weyal di banneexu
Free newsletter
Get the daily AI briefing
Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.
One email each weekday. Unsubscribe in one click. We never sell or share your address.
Test yourself
Take the Self-Refine Iterative Output Improvement quiz
Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.
Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation
Gis bi ci topp
Guardrails ak yamale génne
Laaj yi ñuy faral di laaj
What is Self-Refine Iterative Output Improvement?
Self-Refine xarala la buy yee nit ñi, fu modelu làkk bi di ŋàññi limu génne ba noppi binndaat ko, di def loop ba tontu bi gëna baax. Dafa am solo ndax model yi mën nañu gis seeni njuumte ba noppi saafara leen te kenn du leen di gëna tàggat wala ñu delloo seen xalaat.
Yan ñatti cër la benn model mëna def ci loop Self-Refine?
Self-Refine dafay jëfandikoo benn model ci ñatti cër yuñ laaj: dafay defar ab projet, ŋàññi ko, ba noppi xoolaat ko.
Lan mooy Self-Refine lu weesu ñaax nit ñi ñu liggéey?
Benn ci màndarga yi Self-Refine am mooy soxlawul yeneen tàggat, xeetu neexal, wala feedback nit, soxlawul ludul ñaaxtu.
Lan moo waral defar feedback ci beneen laaj bu wuute ak defar bordure bi am njariñ?
Xas ci tontu bu bees dafay laaj jàngat bu objektif moo gën rasonalise tontu bu njëkk bi.
Ban xeetu feedback mooy tax jéego setal bi gëna am njariñ?
Specific, actionable critique (e.g., 'add error handling') drives targeted edits; feedback bu leerul dafay jur coppite yu leerul.
Kañ la Self-Refine di ñàkka mëna yokk njariñ li?
Sudee model bi mënul xàmmee jafe-jafe bi, self-critique bi du ko feeñal, kon revision bi mënul ko saafara.