Matsakaicin Matsakaicin Dace
Matsakaicin Matsakaicin Matsayi (MMR) hanya ce ta sake-daraja wacce ke daidaita yadda sakamakon ya kasance daidai da yadda ya bambanta da sakamakon da aka zaɓa.
Dubawa
It matters because pure relevance ranking often returns near-duplicate passages that waste space in a RAG context window.
Zurfafa nutsewa
Lokacin da tsarin bincike ya ƙididdige takardu ta hanyar dacewa da tambaya, babban sakamakon da ake samu akai-akai - sassa biyar duk suna faɗin abu ɗaya. MMR, wanda Carbonell da Goldstein suka gabatar a cikin 1998, yana gyara wannan ta zaɓin sakamako ɗaya bayan ɗaya. A kowane mataki tana zaɓar ɗan takarar da ya ƙara girman gauraya mai nauyi: lambda yana sau dacewar sa ga tambayar, rage (1 debe lambda) ya ninka mafi girman kamanni da duk abin da aka zaɓa. Lambda kusa da 1 yana ba da kyakkyawar dacewa; kusa da 0 yana son bambancin. A cikin ƙarni da aka haɓaka, MMR ya shahara don ɗauko ɓangarorin ɓangarorin daban-daban don haka ƙirar harshe yana ganin ƙarin shaida maimakon gaskiyar da aka maimaita, inganta ɗaukar hoto ba tare da faɗaɗa mahallin ba.
Fahimtar Fasaha
MMR ne mai hadama, algorithm na maimaitawa. Dukansu dacewa da kamancen takardu na tsaka-tsaki yawanci ana lissafta su azaman kamancen cosine tsakanin shigar da vectors. Ƙididdigar ƙira ita ce: MMR = argmax a kan ragowar takardun [lambda * sim (doc, query) - (1 - lambda) * max sim (doc, zaba)]. Saboda yana sake kimanta saitin girma na kowane zagaye, yana dogara ga tsari kuma yana gudana a cikin kwatancen O(k*n) kwatankwacin kwatancen k zaɓaɓɓun daga n yan takara.
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 Matsakaicin Matsakaicin Dangantaka
MMR ya kasance tsoho mai nauyi a cikin abokan ciniki na bayanan bayanai kamar LangChain da Chroma, inda aka ba da shi azaman yanayin dawo da layi ɗaya. Tsarukan gaba suna ƙara haɗa shi tare da manufar bambance-bambancen da aka koya, zaɓi na tushen gungu, da masu canza rikodin giciye waɗanda ke yin hukunci da sabon abu fiye da tazarar cosine. Kamar yadda mahallin windows ke girma, fifikon yana canzawa daga adana sararin samaniya zuwa samar da ingantacciyar hujja, kiyaye zaɓin bambance-bambancen kamar MMR masu dacewa koda lokacin da ƙarancin ƙarfin yana da yawa.
Aiwatar da Gaskiyar Duniya
RAG chatbot yana amfani da dawo da MMR don haka manyan ɓangarorinsa guda 5 sun rufe bangarori daban-daban na manufa maimakon fassarori biyar na sakin layi ɗaya.
Kayan aikin taƙaitawa na bincike yana amfani da MMR don zaɓar sassan da ke rage juzu'i, samar da fa'ida, taƙaitaccen taƙaitaccen bayani.
Mai tara labarai ya ba da matsayi na labarai tare da MMR don nuna bambance-bambancen ɗaukar hoto na taron maimakon shaguna goma masu maimaita labarin waya ɗaya.
Mai dawo da kantin sayar da vector na LangChain yana fallasa search_type='mmr' tare da fetch_k da lambda_mult don rarrabuwar takaddun da aka dawo dasu.
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
Matsakaicin Matsakaici
Tambayoyin da ake yawan yi
What is Maximum Marginal Relevance?
Matsakaicin Matsakaicin Matsayi (MMR) hanya ce ta sake-daraja wacce ke daidaita yadda sakamakon ya kasance daidai da yadda ya bambanta da sakamakon da aka zaɓa. Yana da mahimmanci saboda ƙimar dacewa mai tsabta sau da yawa yakan dawo kusa-kwafin wurare waɗanda ke ɓata sarari a cikin taga mahallin RAG.
Menene babbar matsalar MMR da aka ƙera don magance?
MMR yana magance yanayin dacewa-kawai matsayi don bayyana sakamako da yawa waɗanda ke faɗi ainihin abu ɗaya, ta hanyar ba da lada.
A cikin tsarin MMR, menene ƙimar lambda kusa da 1 ta jaddada?
Ma'aunin nauyi na Lambda; kusa da 1 lokacin dacewa ya mamaye, yayin da kusa da 0 kalmar bambancin (ƙananan kamanni) ya mamaye.
Ta yaya MMR ke zaɓar sakamakonsa?
MMR hanya ce ta kwaɗayi: kowane zaɓi yana haɓaka dacewa ban da mafi girman kamanni da abubuwan da aka zaɓa.
Wane ma'aunin kamanni ne aka fi amfani da shi a cikin MMR don saka rubutu?
Kamanceceniya ta cosine tsakanin haɗe-haɗe-haɗe shine madaidaicin zaɓi don duka dacewar tambaya da kwatancen rubutu a cikin MMR.
Me yasa MMR ke da amfani musamman a cikin haɓaka-ƙaramar haɓakawa (RAG)?
Ta hanyar rarrabuwar kuɗaɗen da aka samo, MMR yana taimaka wa ƙirar ta ga bambance-bambancen shaida maimakon wannan gaskiyar da aka maimaita, inganta ɗaukar hoto.