Haɗin-Agents
Mixture-of-Agents (MoA) wata dabara ce inda nau'ikan harsuna da yawa za su rubuta amsoshi sannan kuma samfurin tarawa ya haɗa mafi kyawun ra'ayoyinsu zuwa ingantacciyar amsa.
Dubawa
It lets a team of open models rival or beat a single top-tier model.
Zurfafa nutsewa
An gabatar da shi a cikin takarda na 2024 daga Tare AI, Mixture-of-Agents yana tsara LLMs da yawa zuwa yadudduka. A cikin layin farko, nau'ikan 'proposer' da yawa kowannensu yana amsa saƙon da kansa. Ana tattara abubuwan fitar da su sannan a mika su ga Layer na gaba, inda samfura ke sake amsawa, yanzu sun sharadi akan duk zane-zanen da suka gabata. Bayan ɗaya ko fiye da irin waɗannan zagaye, ƙirar 'aggregator' ta ƙarshe tana haɗa komai zuwa amsa ɗaya. Babban fahimtar, wanda marubutan suka kira 'haɗin kai na LLMs', shine samfura suna samar da ingantattun amsoshi lokacin da aka nuna amsoshin takwarorinsu, har ma da waɗanda basu cika ba. A kan ma'auni na AlpacaEval 2.0, MoA da aka gina gabaɗaya daga samfuran buɗe ido da aka bayar da rahoton sun zarce maki GPT-4 Omni, yana nuna cewa a hankali haɗa nau'ikan nau'ikan iri daban-daban, masu rahusa na iya doke tsarin gaba ɗaya.
Fahimtar Fasaha
MoA ya bambanta da zaɓe mai sauƙi: maimakon ɗaukar amsa ɗaya, mai tarawa yana karanta duk martanin ɗan takara a matsayin mahallin kuma yana haifar da sabon salo, haɗakar ƙarfi da kurakurai. Bambance-bambance tsakanin masu ba da shawara yana taimakawa, don haka haɗuwa da iyalai daban-daban suna da mahimmanci. Tsarin yana layi ne, kamar cibiyar sadarwa mai zurfi inda 'neurons' kowane Layer ke kiran LLM gabaɗaya. Kasuwancin kashewa shine latency da farashi: kowane Layer yana ninka adadin kiran ƙima, don haka MoA yana kashe ƙarin ƙididdigewa don ɗaga inganci.
Dabarun Tasiri
Gudu da sikelin
Gudun aikin harshe na iya tafiya da sauri ba tare da sadaukar da daidaito ba.
Shiga ku isa
Yana faɗaɗa damar shiga cikin harsuna da salon sadarwa.
Shawarwari masu haske
Ƙungiyoyi za su iya ciyar da ƙarin lokaci akan hukunci yayin da aiki da kai ke sarrafa maimaitawa.
Makomar Haɗin-Na-Agents
Yi tsammanin tarawa irin na MoA zai yaɗu yayin da rahusa ke samun rahusa kuma tsarin ƙira ya girma. Umarnin bincike sun haɗa da koyo waɗanda masu ba da shawara za su amince da kowace tambaya (fitowa), rage hukuncin latency ta hanyar tafiyar da masu ba da shawara a layi daya da datsa masu rauni da wuri, da haɗa MoA tare da wakilai masu amfani da kayan aiki don haka mai tarawa ya haɗa ba kawai rubutu ba amma ayyuka da kuma dawo da shaida. Kamar yadda buɗaɗɗen samfura ke yaɗuwa, haɗa su cikin hikima ya zama hanya mai ƙara aiki zuwa ingancin matakin iyaka ba tare da ƙaƙƙarfan ƙira ɗaya ba.
Aiwatar da Gaskiyar Duniya
Haɗa nau'ikan taɗi daban-daban guda uku a matsayin masu ba da shawara, sannan yin amfani da ƙaƙƙarfan mai tarawa don samar da ingantacciyar amsa ta goyon bayan abokin ciniki.
Haɓaka darajoji masu bin umarni akan ma'auni na AlpacaEval ta amfani da ƙirar tushen buɗe kawai.
Haɗa shawarwarin lambobi daban-daban daga samfura da yawa zuwa guda ɗaya, mafi ƙarfin aiwatar da ayyuka.
Gudun bututun buɗaɗɗen nauyi wanda ke kusanci ingancin iyakoki don ƙaddamar da sirrin sirri inda bayanai ba za su iya barin sabar kamfani ba.
Hatsari & Tsare-tsare
Abubuwan da aka ruɗe suna iya shigar da rahotanni cikin nutsuwa, kwararar tallafi, ko abubuwan bincike.
Hankali na gaggawa na iya ƙirƙirar sakamako mara daidaituwa a cikin buƙatun iri ɗaya.
Za a iya fallasa bayanan rubutu mai ma'ana idan ikon samun dama yana da rauni.
Taswirar Hanya
Ƙayyade tsarin fitarwa, sautin, da ma'auni masu inganci kafin fitowa.
Amsa a ƙasa tare da amintattun tushe a duk lokacin da daidaito ya shafi mahimmanci.
Ajiye wurin binciken ɗan adam don abubuwan da ake samu masu girma.
Bibiyar tsarin gazawar kuma sake horar da tsokaci ko tafiyar aiki akai-akai.
Ci gaba da Bincike
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Jagora na gaba
Cakuda Zurfi
Tambayoyin da ake yawan yi
What is Mixture-of-Agents Aggregation?
Mixture-of-Agents (MoA) wata dabara ce inda nau'ikan harsuna da yawa za su rubuta amsoshi sannan kuma samfurin tarawa ya haɗa mafi kyawun ra'ayoyinsu zuwa ingantacciyar amsa. Yana ƙyale ƙungiyar buɗaɗɗen ƙira ta yi hamayya ko doke babban ƙira ɗaya.
A cikin Mixture-of-Agents, menene aikin ƙirar tarawa?
Mai tarawa yana karanta duk martanin ɗan takara kuma yana samar da amsa mai haɗaɗɗiya, mafi inganci.
Wane maɓalli na LLMs takardar MoA ta dogara da ita?
Marubutan sun lura cewa ƙira suna inganta amsoshinsu idan an yi sharadi akan daftarin ƙirar wasu, har ma da waɗanda basu cika ba.
Ta yaya MoA ya bambanta da mafi yawan zaɓe?
Ba kamar jefa ƙuri'a ba, MoA ba ya zaɓi amsa ɗaya kawai; yana haifar da sabon martani wanda ya haɗa 'yan takara.
Me yasa bambancin tsakanin samfuran masu ba da shawara ke da mahimmanci a cikin MoA?
Daban-daban masu ba da shawara sun rufe ƙarin ƙasa, suna ba mai tara tarin ra'ayoyi mafi arha don haɗawa da kurakurai don tacewa.
Menene babban farashi mai amfani na tsarin MoA?
Kowane Layer yana ƙara ƙarin kiran LLM, don haka MoA yana cinikin ƙarin lissafi da lokaci don ingantacciyar ingancin amsa.