MUHIMMAN JAGORA

Abun ciki

Abubuwan haɗawa suna juya kalmomi, hotuna, ko wasu bayanai zuwa lissafin lambobi (vectors) ta yadda abubuwa makamantan su ƙare kusa da juna a cikin sararin sarari mai girma.

2 min karatuAn sabunta ta ƙarshe Part of the Building with AI Systems learning path

Dubawa

They are the bridge that lets AI compare meaning mathematically.

Zurfafa nutsewa

Kwamfutoci ba za su iya yin tunani game da ɗanyen rubutu kai tsaye ba, don haka samfura na farko suna canza kowane alama, jumla, ko hoto zuwa vector, jerin ɗaruruwa ko dubbai na lambobi. An tsara waɗannan nau'ikan nau'ikan nau'ikan nau'ikan nau'ikan ma'ana su zauna kusa da juna: 'cat' ƙasa kusa da 'yar kyanwa, kuma tambaya ta sauka kusa da takaddun da ke amsa ta. Samfurin yana koyon waɗannan matsayi yayin horo, ba da hannu ba. Shahararren kwatanci shine lissafin vector na iya ɗaukar alaƙa, inda 'sarki' ya rage 'namiji' da 'mace' ƙasa kusa da 'sarauniya'. Ƙirƙirar bincike mai ƙarfi, shawarwari, tari, da matakin dawowa a cikin tsarin RAG, saboda kwatankwacin nau'i biyu tare da ma'aunin kamanni yana da sauri da ma'ana. Mahimmanci, sakawa suna ɗaukar tsarin ƙididdiga daga bayanan horo, don haka za su iya ɗaukar abubuwan son zuciya.

Fahimtar Fasaha

Abun haɗawa shine mai yawa vector a cikin sarari mai ci gaba; yawanci ana auna kamanceceniya da kamancen cosine (kusurwar da ke tsakanin vectors) ko samfurin digo, inda mafi girma yana nufin iri ɗaya. Samfura suna koyon abubuwan haɗawa ta hanyar daidaita waɗannan nau'ikan a lokacin horo ta yadda abubuwan da ke bayyana a cikin mahallin iri ɗaya su matso kusa tare. Don bincika miliyoyin vectors cikin sauri, tsarin suna amfani da Maƙasudin Maƙwabta Mafi Kusa (kamar HNSW) a cikin ma'ajin bayanai na vector, suna cinikin ɗan kankanin daidaito don babban riba mai sauri akan kwatankwacin ƙarfi.

Dabarun Tasiri

Shawarwari masu haske

Yana taimaka muku keɓance bayyanannen da'awar fasaha daga harshen talla.

Kudin da kasafin kuɗi

Kuna iya yin mafi kyawun tambayoyin aiwatarwa kafin kashe kuɗi ko lokaci.

Ƙungiya da aikin aiki

Ƙungiyoyin da ke da fahimtar juna suna yin mafi kyawun samfura, manufofi, da yanke shawara na koyo.

Makomar Sakawa

Abubuwan haɗawa suna ƙara haɓaka multimodal, rubutun taswira, hotuna, da sauti cikin sarari guda ɗaya don haka zaku iya bincika hotuna tare da kalmomi ko daidaita sauti zuwa taken magana, kamar yadda ake yaɗa samfura kamar CLIP. Yi tsammanin shigar da daftarin aiki mai tsayi, ƙanana da arha samfuri waɗanda ke aiki akan na'urar, da mafi kyawun sarrafa son zuciya da ɗokin ilimin. Kamar yadda tsarawar da aka haɓaka ya zama daidaitattun, ingantattun abubuwan haɗawa da bayanan bayanan vector waɗanda ke adana su za su kasance ainihin abubuwan more rayuwa don ƙaddamar da AI a cikin ainihin, bayanai na zamani.

Aiwatar da Gaskiyar Duniya

Injunan bincike na Semantic sun haɗa tambayarku da takaddun ku, sannan ku dawo da mafi kusancin matches ta ma'ana maimakon ainihin kalmomi.

Tsarin RAG sun haɗa tushen ilimi don haka mai yin hira zai iya dawo da mafi dacewa wurare kafin amsawa.

Tsarin shawarwari (kiɗa, samfura, bidiyo) suna sanya masu amfani da abubuwa azaman faifai na kusa don ba da shawarar abun ciki iri ɗaya.

Spam, kwafi, da kusan kwafi saƙonnin gungu na ganowa ta hanyar haɗa kamanni da abun ciki mai kama da tuta.

Hatsari & Tsare-tsare

Ƙungiyoyi daban-daban na iya amfani da kalmar iri ɗaya daban, don haka ayyana iyaka da wuri.

Alamomi na iya yin kama da ƙarfi yayin da aikin zahirin duniya bai yi daidai ba.

Yin watsi da ingancin bayanai da tsare-tsaren kimantawa galibi yana haifar da sakamako mara ƙarfi.

Taswirar Hanya

1

Fara da ma'anar harshe a sarari na sakamakon da kuke buƙata.

2

Zaɓi ma'aunin nasara ɗaya da yanayin gazawa ɗaya kafin gwaji.

3

Gudun ƙaramin matukin jirgi tare da bayanan wakilci, ba saitin demo da aka goge ba.

4

Takaddun bayanai inda Abubuwan haɗawa ke taimakawa kuma inda mafi sauƙi hanyoyin suka fi kyau.

Ci gaba da Bincike

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What is Embeddings?

Abubuwan haɗawa suna juya kalmomi, hotuna, ko wasu bayanai zuwa lissafin lambobi (vectors) ta yadda abubuwa makamantan su ƙare kusa da juna a cikin sararin sarari mai girma. Su ne gadar da ke ba AI damar kwatanta ma'ana ta lissafi.

Menene sakawa, asali?

Ƙirƙirar lambobi masu yawa ne waɗanda ke sanya abu a cikin sarari inda abubuwa iri ɗaya suke kusa da juna.

Wanne awo ne aka fi amfani da shi don kwatanta abubuwan haɗawa biyu?

Kwatankwacin Cosine yana auna kusurwa tsakanin vectors; darajar mafi girma tana nufin abubuwa suna nunawa a cikin mafi kamancen shugabanci.

Me yasa tsarin samarwa ke amfani da maƙasudin Maƙwabta Mafi kusa (ANN) don haɗawa?

Kwatankwacin ƙarfi-ƙarfi sama da miliyoyin ƙwararru yana jinkirin, don haka ma'auni na ANN kamar HNSW ƙananan daidaiton ciniki don babban riba mai sauri.

Menene misalin 'sarki - namiji + mace ≈ sarauniya' ya nuna game da sakawa?

Yana nuna ƙulla alaƙa ta hanyar geometrically, don haka ana iya bayyana kwatankwacin wani lokaci azaman ƙari da ragi.

Wanne haɗari ne na gaske lokacin amfani da abubuwan sakawa?

Saboda sakawa suna koya daga bayanai, za su iya ɗaukar ra'ayin waccan bayanan, wanda zai iya fitowa cikin bincike da shawarwari.