Kuramba Sampling Fine-Tuning
Rejection Sampling Fine-Tuning (RFT) inogadzira mhinduro zhinji dzevamiriri, inochengeta chete idzo dzine zvibodzwa zvakanaka, uye inodzoreredza modhi kune avo vakundi.
Pfupiso
It matters because it offers much of RLHF's benefit using straightforward supervised learning instead of complex reinforcement learning.
Kudzika Kwakadzika
Kuramba Sampling Yakanaka-Tuning, dzimwe nguva inodaidzwa kuti best-of-N fine-tuning, chinhu chakakosha pakurongeka kwakaita mamodheru akaita se Meta's Llama 2 neLlama 3. Mabikirwo acho ari nyore: pakukurumidza kwega kwega, sarai mhinduro dzakati wandei (taura 4 kusvika 64) kubva kune yazvino modhi, zvibodzwa imwe neimwe ine mubairo modhi kana otomatiki cheki, wobva warasa ('ramba') zvese kunze kwekubuda kwepamusoro-soro. Iwo asara emhando yepamusoro sampuli inova nyowani inotariswa yakakwenenzverwa-tuning dataset, uye modhi inodzidziswa pairi nekukasira kunotevera-chiratidzo kurasikirwa. Kudzokorodza iyi loop inodzokorodza modhi kuunza mhinduro dziri nani pachayo. Nekuti iyo modhi inodzidza kubva kune yayo yakasefa zvabuda, RFT inodzivirira kusagadzikana uye kugadzirisa misoro yepolicy-gradient RL ichiri kukwidza chiratidzo chemubairo.
Technical Insight
RFT inoshandisa chokwadi chekuti sampling kakawanda uye kuchengetedza mhinduro-yepamusoro-mubairo inofungidzira kutora kubva pakurodzwa, kugovera kwemhando yepamusoro. Kudzidzira kune avo vakundi kuburikidza neyakajairwa muchinjiko-entropy zvinobudirira kudhiza iyo yakanakisa-ye-N maitiro kumashure mune imwe modhi-yemuenzaniso zvinobuda. Kumadhomeini anotariswa semasvomhu kana kodhi, 'mubairo' unogona kungove kana mhinduro yekupedzisira kana bvunzo yeyuniti ikapfuura, ichibvisa kudiwa kwemuenzaniso wemubairo wakadzidziswa zvachose.
Strategic Impact
Kumhanya uye chiyero
Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
Svika uye svika
Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
Sarudzo dzakajeka
Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.
Ramangwana Rekurambwa Sampling Fine-Tuning
RFT iri pakati pemazuva ano post-kudzidziswa, inowanzo shandiswa pamberi kana padivi peRL nzira sePPO neDPO. Kukwezva kwayo kunokura nekuchipa kwekufungidzira uye yakasimba otomatiki verifiers: sezvo modhi dzinova nani pakuzvigadzira wega uye kuzviongorora, iterated kuramba sampling inotsigira synthetic-data uye kuzvinatsiridza zvishwe. Tarisira kubatanidzwa kwakasimba nemamodeli ekufunga anoburitsa cheni dzepfungwa dzinogoneka, uye kudzidza kunoenderera kwenzira yekudzivirira kubira mubairo nekupunzika kwakasiyana-siyana paunenge uchidzidzira kakawanda pane zvakabuda zvemuenzaniso wega.
Real-World Implementation
Kuenzanisa Llama-maitiro emhando nekuenzanisa mhinduro dzakawanda pakukurumidza, kuchengeta iwo epamusoro-mubairo-modhi yezvibodzwa, ipapo SFT pane izvo.
Kuvandudza math solver nekugadzira mhinduro dzakawanda uye kuchengetedza chete izvo zvinosvika pamhinduro chaiyo, inotarisika.
Kugadzira kodhi uko vavhoti vanochengetwa chete kana vakapasa bvunzo dzeyuniti, yobva yashandiswa sedhata rekudzidzisa
Kuvaka madhaseti ekuraira ekugadzira nekusefa ega mhinduro dzakanakisa dzega dzega redzidzo rinotevera.
Njodzi & Guardrails
Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.
Implementation Roadmap
Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.
Ramba Uchiongorora
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Gaidhi rinotevera
QLoRA uye 4-Bit Yakanaka-Tuning
Mibvunzo inowanzo bvunzwa
What is Rejection Sampling Fine-Tuning?
Rejection Sampling Fine-Tuning (RFT) inogadzira mhinduro zhinji dzevamiriri, inochengeta chete idzo dzine zvibodzwa zvakanaka, uye inodzoreredza modhi kune avo vakundi. Izvo zvine basa nekuti zvinopa zvakawanda zveRHF kubatsira uchishandisa yakatwasuka inotariswa kudzidza pachinzvimbo chekudzidza kwakaoma kusimbaradza.
Ndeipi pfungwa huru yeRejection Sampling Fine-Tuning?
RFT sampuli mhinduro dzakawanda, mafirita kune iwo epamusoro-zvibodzwa, uye inonatsa-tuna modhi kune avo vakundi.
Munzvimbo dzinotariswa semasvomhu kana kodhi, chii chinogona kushanda semubairo?
Kune mabasa anotariswa, RFT inogona kushandisa kunyatsorongeka kana kupasa bvunzo dzeyuniti, kudzivirira yakadzidza mubairo modhi.
Ndeipi mhuri yemuenzaniso yakakurumbira yakashandisa kurambwa sampling panguva yekuenzanisa?
Meta yakatsanangura kushandisa sampling yekuramba sechikamu cheresipi yepashure pekudzidzira yemhando dzeLlama 2 neLlama 3.
Nei zvikwata zvingada RFT pane policy-gradient RL sePPO?
RFT inodzokorora neyakajairwa-inotevera-chiratidzo kurasikirwa pamasampuli akacheneswa, kufuratira kuoma kwekugadzirisa uye kusagadzikana kwemaitiro-gradient nzira.
Kudzidzira pane yakanyanya-mubayiro samples zvinobudirira kunoita chii?
Nekudzidza kubva kumhinduro dzakapepetwa dzepamusoro, modhi inoisa mukati memhando yepamusoro hunhu muchizvarwa chimwe.