Nhasi tiri kuona shanduko munzvimbo yekugadzirwa kwemutauro wechisikigo. Uye, ndezvechokwadi kuti hapana ramangwana pasina huchenjeri hwekugadzira. Isu tave kutoshandisa vakasiyana-siyana veAI "vabatsiri".
Chatbots ndiyo yakanakisa mienzaniso mune yedu. Vanomiririra nguva itsva yekukurukurirana. Asi chii chinoita kuti dzive dzakakosha?
Machatbots azvino anogona kunzwisisa uye kupindura mibvunzo yemutauro wechisikigo nehunyanzvi uye ruzivo senyanzvi dzevanhu. Zvinonakidza kudzidza nezve mamesheni anoenda mukuita.
Buck up uye ngatiwane tekinoroji iri shure kwayo.
Kunyura muTech
AI Transformers ishoko rakakura munzvimbo ino. Vakafanana neural networks izvo zvachinja magadzirirwo emutauro wechisikigo. Muchokwadi, kune yakakura dhizaini yakafanana pakati peAI transformers uye neural network.
Ose ari maviri akaumbwa akati wandei ekugadzirisa mayunitsi anoita akatevedzana ekuverenga kushandura data rekuisa kuita fungidziro sekubuda. Mune ino post, isu tichatarisa simba reAI Transformers uye kuti vari kushandura sei nyika yakatitenderedza.
Iko kugona kweNatural Language Processing
Ngatitangei nezvinokosha. Tinozvinzwa kwese kwese kuda. Asi, chii chaizvo chiri kugadzirisa mutauro wechisikigo?
Icho chikamu che chakagadzirwa njere iyo inotarisa pakudyidzana kwevanhu nemichina kuburikidza nekushandiswa kwemutauro wechisikigo. Chinangwa ndechekubvumira makombiyuta kuona, kududzira, uye kugadzira mutauro wevanhu nenzira ine musoro uye yechokwadi.
Kuzivikanwa kwekutaura, kushandura mutauro, manzwiro ongororo, uye muchidimbu zvinyorwa zvese mienzaniso yeNLP application. Mamodheru echinyakare eNLP, kune rumwe rutivi, akanetseka kubata hukama hwakaoma pakati pemazwi mumutsara. Izvi zvakaita kuti huwandu hwepamusoro hwekurongeka mumabasa mazhinji eNLP dzisagone.
Apa ndipo panopinda AI Transformers pamufananidzo. Nekuzvitarisisa, vashanduri vanogona kurekodha kutsamira kwenguva refu uye hukama pakati pemazwi mumutsara. Iyi nzira inogonesa iyo modhi kusarudza kuenda kune dzakasiyana zvikamu zvekuteerana kwekupinza. Saka, inogona kunzwisisa mamiriro uye zvinoreva izwi rimwe nerimwe mumutsara.
Chii Chaizvo Zviri Transformers Models
An AI transformer is a kudzidza zvakadzika dhizaini inonzwisisa uye inogadzirisa mhando dzakasiyana dzeruzivo. Inokunda pakuona kuti mabhiti akawanda eruzivo anodyidzana sei kune rimwe nerimwe, sekuti mazwi akasiyana mumutsara anobatanidzwa sei kana kuti zvikamu zvakasiyana zvemufananidzo zvinokwana sei.
Inoshanda nekutsemura pasi ruzivo kuita zvidimbu zvidiki uyezve kutarisa kune zvese izvo zvikamu kamwechete. Zvinoita sekunge akawanda marobhoti madiki ari kubatana kuti anzwisise iyo data. Tevere, kana yangoziva zvese, inounganidza zvese zvezvikamu kuti ipe mhinduro kana kubuda.
AI transformers yakakosha zvakanyanya. Vanogona kunzwisisa mamiriro uye hukama hwenguva refu pakati peruzivo rwakasiyana. Izvi zvakakosha pamabasa akaita sekushandura mutauro, muchidimbu, nekupindura mibvunzo. Saka, ndidzo pfungwa dziri kumashure kwezvinhu zvakawanda zvinonakidza zvinogona kuitwa neAI!
Attention ndiyo Yese yaunoda
Musoro wekuti "Kutarisisa Ndiko Kwese Kwaunoda" unoreva kuburitswa kwa2017 kwakakurudzira modhi yetransformer. Yakashandura chirango chekugadzirisa mutauro wechisikigo (NLP).
Vanyori veiyi tsvagiridzo vakataura kuti iyo transformer modhi yekuzvitarisa yaive yakasimba zvakakwana kutora basa reyakajairwa kudzokorora uye. convolutional neural network inoshandiswa kuNLP mabasa.
Chii chinonzi Kuzvitarisa Chaizvo?
Iyo inzira inobvumira iyo modhi kuti itarise pane akasiyana ekuisa sequence zvikamu pakugadzira fungidziro.
Mune mamwe mazwi, kuzvitarisa kunoita kuti modhi ikwanise kuverengera seti yezvibodzwa zvechinhu chimwe nechimwe chine chekuita nezvimwe zvikamu zvese, zvichibvumira modhi kuti ienzanise kukosha kwechinhu chimwe nechimwe chekuisa.
Mushanduro-yakavakirwa nzira, kuzvidzora kunoshanda sezvinotevera:
Kutevedzana kwekuisa kunotanga kuiswa munhevedzano yemavheji, imwe yenhengo yega yega yekutevedzana.
Pachinhu chimwe nechimwe mukutevedzana, modhi inogadzira matatu matatu emavheji: query vector, key vector, uye value vector.
Iyo query vector inofananidzwa kune ese makiyi mavheji, uye kufanana kunoverengerwa uchishandisa dot chigadzirwa.
Iko kutarisisa zvibodzwa izvo zvinoguma zvajairwa uchishandisa softmax basa, iro rinogadzira seti yezviyereso zvinoratidza kukosha kwechidimbu chechimwe nechimwe mukutevedzana.
Kuti ugadzire iyo yekupedzisira inomiririra inomiririra, kukosha mavheti anowedzerwa nehuremu hwekutarisisa uye kupfupikiswa.
Transformer-based models, iyo inoshandisa kuzvidzora, inogona kubudirira kutora hukama hurefu-refu mukutevedzana kwekupinza pasina kuenderana neyakagadziriswa-yakareba mahwindo mahwindo, zvichiita kuti zvive zvakakosha kune zvechisikigo zvekugadzirisa mutauro.
muenzaniso
Fungidzira isu tine nhanhatu-tokeni yekuteedzera kutevedzana: "Katsi yakagara pameti." Chiratidzo chega chega chinogona kumiririrwa sevector, uye kutevedzana kwekuisa kunogona kuoneka sezvizvi:
Tevere, pachiratidzo chega chega, taizovaka matatu seti yemavheji: query vector, key vector, uye value vector. Iyo yakamisikidzwa tokeni vector inowedzerwa nematatu akadzidzira huremu matrices kuti abudise aya mavector.
Pachiratidzo chekutanga "Iyo," semuenzaniso, mubvunzo, kiyi, uye kukosha maveta angave:
Mubvunzo vector: [0.4, -0.2, 0.1]
Key vector: [0.2, 0.1, 0.5]
Kukosha vector: [0.1, 0.2, 0.3]
Kutarisisa zvibodzwa pakati pema tokens ega ega mukutevedzana kwekupinza kunoverengerwa neiyo yekuzvitarisisa meshini. Semuyenzaniso, mucherechedzo wemucherechedzo pakati petokens 1 ne2 "Iyo" yaizoverengerwa sedoti chigadzirwa chemubvunzo wavo uye akakosha mavector:
Chengetedzo chibodzwa = dot_product(Mubvunzo vector yeChiratidzo 1, Key vector yeChiratidzo 2)
= (0.4 * 0.8) + (-0.2 * 0.2) + (0.1 * 0.1)
= 0.31
Izvi zvibodzwa zvetarisiro zvinoratidza kuenzana kwechiratidzo chega chega mukutevedzana kune mamwe.
Chekupedzisira, chechiratidzo chega chega, chinomiririrwa chinogadzirwa nekutora huremu hwehuwandu hwemavheji, nehuremu hunotarwa neakatarisisa mamaki. Iyo inomiririrwa yechiratidzo chekutanga "The," semuenzaniso, ingave:
Output vector yeChiratidzo 1 = (Chengetedza chibodzwa chine Chiratidzo 1) * Kukosha vhekita yeChiratidzo 2
+ (Kutarisisa mamaki neChiratidzo 3) * Kukosha vector yeChiratidzo 3
+ (Kutarisisa mamaki neChiratidzo 4) * Kukosha vector yeChiratidzo 4
+ (Kutarisisa mamaki neChiratidzo 5) * Kukosha vector yeChiratidzo 5
+ (Kutarisisa mamaki neChiratidzo 6) * Kukosha vector yeChiratidzo 6
= (0.31 * [0.1, 0.2, 0.3]) + (0.25 * [0.2, -0.1, 0.7]) + (0.08 * [0.3, 0.5, -0.1]) + (0.14 * [0.1, 0.3, -0.2] ) + (0.22 * [0.6, -0.3, 0.4])
= [0.2669, 0.1533, 0.2715]
Nekuda kwekuzvitarisa wega, iyo transformer-based modhi inogona kusarudza kuenda kune dzakasiyana zvikamu zvekutevedzana kwekuisa pakugadzira kutevedzana kwekubuda.
Zvishandiso Zvakawanda Kupfuura Zvaunofunga
Nekuda kwekugona kwavo kuchinjika uye kugona kubata akawanda emabasa eNLP, akadai sekududzira muchina, kuongororwa kwemanzwiro, kupfupisa zvinyorwa, uye nezvimwe, vashanduri veAI vakakura mukuzivikanwa mumakore achangopfuura.
AI transformers akashandiswa munzvimbo dzakasiyana siyana, kusanganisira kucherechedzwa kwemifananidzo, masisitimu ekurudziro, uye kunyangwe kuwanikwa kwezvinodhaka, kuwedzera kune ekare-emutauro-based application.
AI transformers ine dzinenge dzisingagumi kushandiswa sezvo dzichigona kugadzirirwa kune dzakawanda nzvimbo dzematambudziko uye data mhando. Vashanduri veAI, vane kugona kwavo kuongorora kutevedzana kwedata kwakaoma uye kutora hukama hwenguva refu, vakaiswa kuve chinhu chakakosha chekutyaira mukuvandudzwa kweAI application mumakore anotevera.
Kuenzanisa nemamwe Neural Network Architectures
Sezvo ivo vachigona kuongorora kutevedzana kwekupinza uye kubata hukama hurefu-refu muzvinyorwa, maAI transformer anonyanya kukodzera kugadziridzwa kwemutauro wechisikigo kana achienzaniswa nemamwe neural network application.
Mamwe neural network architectures, senge convolutional neural network (CNNs) uye inodzokororwa neural network (RNNs), kune rimwe divi, inokodzera zvirinani kumabasa anosanganisira kugadziridzwa kweiyo yakarongwa yekupinda, senge mifananidzo kana nguva yakatevedzana data.
Ramangwana riri Kutaridzika Kujeka
Ramangwana reAI transformers rinoratidzika kujeka. Imwe nzvimbo yechidzidzo chirikuenderera mberi ndeyekugadzirwa kwemhando dzakasimba zvishoma nezvishoma dzinokwanisa kubata mabasa ari kuramba achinetsa.
Zvakare, kuyedza kuri kuitwa kubatanidza AI transformers nemamwe maAI matekinoroji, akadai kusimbisa kudzidza, kupa humwe hutano hwepamusoro hwekuita sarudzo.
Indasitiri yega yega iri kuyedza kushandisa kugona kweAI kutyaira hunyanzvi uye kuwana muganho wemakwikwi. Saka, ma AI anoshandura anogona kunge achiverengerwa zvishoma nezvishoma mumhando dzakasiyana dzekushandisa, kusanganisira hutano, mari, nezvimwe.
Nekuenderera mberi kwekuvandudzwa muAI transformer tekinoroji uye mukana weaya akasimba eAI maturusi ekushandura nzira iyo vanhu vanogadzira uye kunzwisisa mutauro, ramangwana rinoratidzika kujeka.
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