Reward Modelling
Muenzaniso wemubairo ndeye neural network yakadzidziswa kufanotaura kuti yakanaka sei mhinduro yeAI, ichiita seyakazvimiririra yekumira-mukati yekutonga kwevanhu.
Pfupiso
It is the scoring engine that makes reinforcement learning from human feedback possible at scale.
Kudzika Kwakadzika
Reward modelling inogadzirisa dambudziko rinoshanda: vanhu havagone kuyera yega yega yemamirioni ezvibodzwa zvinogadzirwa nemuenzaniso panguva yekudzidziswa. Pane kudaro, vanyoreri vanofananidza seti diki yemhinduro, kazhinji vachitora kuti ndeipi yemhinduro mbiri kune imwecheteyo kukurumidza iri nani. Modhi yemubairo inozodzidziswa pakuenzanisa uku kuti ibudise imwe scalar mamakisi kune chero yekukurumidza-mhinduro peya. Iyo yakajairwa chinangwa chekudzidzisa ndeyeBradley-Terry modhi, inoshandura zvido zvevaviri kuita mukana wekuti imwe mhinduro inokunda imwe. Kana yangodzidziswa, iyi modhi yemubairo inogona kuyera zvakachipa zvisingaperi zvitsva, ichipa chiratidzo chekuti algorithms sePPO inoshandisa kuvandudza modhi yemutauro. Mamodheru emubairo anoshandiswa zvakare panguva yekufungidzira kune yakanakisa-ye-N sampling, uko vazhinji vanokwikwidza vanogadzirwa uye yepamusoro-yepamusoro-zvibodzwa inodzoswa.
Technical Insight
Muenzaniso wemubairo unowanzo kuve mugadziriso wemutauro wekutanga nemusoro wechiratidzo-yekufanotaura unotsiviwa nemutsara mutsetse mumwe chete unoburitsa scalar imwe. Kudzidzira kunowedzera irogi-mukana wekuti mhinduro yakasarudzwa inokwira kupfuura iyo yakarambwa: kurasikirwa = -log(sigmoid(r_chosen - r_rejected)). Musiyano wehukama chete ndiwo une basa, saka chiyero chakakwana chinopokana. Hunhu hunotsamira pane label kuenderana uye kufukidzwa kwakafara kwemaitiro ekupindura.
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 Remubayiro Modelling
Tsvagiridzo iri kubata mibairo mikuru kusasimba kukuru: vanogona 'kubirwa' (mienzaniso inoshandisa quirks sekufarira kureba), uye inodonha kunze kwekugovera sezvo mutemo unovandudza. Manongedzo anovimbisa anosanganisira maitiro emubairo modhi anokora nhanho imwe neimwe yekufunga, ensembles uye fungidziro yekusavimbika yekuramba kubira, AI-yakagadzirwa marebhurari ekuda (RLAIF), uye generative mibairo modhi dzinoburitsa tsoropodzo uye zvikonzero kwete nhamba isina chinhu.
Real-World Implementation
Kusimbisa RLHF yevabatsiri vakaita se ChatGPT uye Claude nekumaka mhinduro dzevamiriri panguva yePPO yekudzidziswa
Yakanakisa-ye-N sampling, uko modhi inogadzira mhinduro dzakawanda uye modhi yemubairo inosarudza yakanakira mushandisi
Math uye coding 'verifiers' kana process mibairo modhi inotora matanho epakati ekufunga kugadzirisa kugadzirisa matambudziko.
Kuisa chinzvimbo uye kusefa yekugadzira yekudzidzisa data, ichichengeta chete epamusoro-zvibodzwa zvizvarwa zvekuwedzera-tuning
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
Bradley-Terry Reward Modelling
Mibvunzo inowanzo bvunzwa
What is Reward Modeling?
Muenzaniso wemubairo ndeye neural network yakadzidziswa kufanotaura kuti yakanaka sei mhinduro yeAI, ichiita seyakazvimiririra yekumira-mukati yekutonga kwevanhu. Ndiyo injini yezvibodzwa inoita kuti kudzidza kwekusimbisa kubva kumhinduro dzevanhu kugoneke pamwero.
Ndeipi yekutanga kubuda kwemubairo modhi kune yakapihwa kukurumidza-mhinduro vaviri?
Muenzaniso wemubairo unoburitsa kukurumidza uye mhinduro kune imwe scalar nhamba inomiririra hunhu hwakafanotaurwa kana zvido zvevanhu.
Ndeupi rudzi rwe data remunhu rinonyanya kushandiswa kudzidzisa mibairo mhando?
MaLabelers anowanzo enzanisa mhinduro mbiri kune imwechete kukurumidza uye sarudza iri nani; iyo Bradley-Terry modhi inoshandura izvi kuita mubairo we scalar.
Ko chiyero chemubairo-modhi yekurasikirwa chinogonesa chii?
Kurasikirwa kweBradley-Terry, -log(sigmoid(r_chosen - r_rejected)), inongoitira hanya nezvekurongeka kwehama, saka chiyero chakakwana chinopokana.
Chii chinonzi 'kupa mubayiro'?
Mubairo kubira kunoitika kana modhi ikawana mapfupi (senge kureba kwakanyanya kana kubata kumeso) iyo isina kukwana yemubairo modhi inokwirisa asi vanhu havaite.
Ko muenzaniso wemubairo unotorwa sei kubva mumuenzaniso wemutauro?
Modhi yemubairo inowanzo shandisa zvakare LM musana asi inochinjana yekupedzisira kune imwe inoburitsa mubairo mumwechete we scalar.