Niaj hnub no peb tab tom pom ib lub kiv puag ncig hauv cheeb tsam ntawm kev ua cov lus ntuj. Thiab, nws yog qhov tseeb tias tsis muaj yav tom ntej yam tsis muaj kev txawj ntse. Peb twb tau siv ntau yam AI "tus pabcuam".
Chatbots yog cov piv txwv zoo tshaj plaws hauv peb rooj plaub. Lawv sawv cev rau lub sijhawm tshiab ntawm kev sib txuas lus. Tab sis, dab tsi ua rau lawv tshwj xeeb?
Tam sim no chatbots tuaj yeem nkag siab thiab teb cov lus nug ntawm cov lus nug nrog tib qhov tseeb thiab nthuav dav raws li tib neeg cov kws tshaj lij. Nws yog qhov zoo siab los kawm txog cov txheej txheem uas nkag mus rau hauv cov txheej txheem.
Buckle thiab cia peb pom cov thev naus laus zis tom qab nws.
Nkag mus rau hauv Tech
AI Transformers yog lo lus tseem ceeb hauv cheeb tsam no. Lawv zoo li neural networks uas tau revolutionized natural language processing. Hauv kev muaj tiag, muaj ntau qhov sib piv ntawm AI transformers thiab neural networks.
Ob leeg yog tsim los ntawm ob peb txheej ntawm cov txheej txheem ua haujlwm uas ua cov kev suav ntau los hloov cov ntaub ntawv tawm tswv yim rau hauv kev kwv yees raws li cov zis. Hauv tsab ntawv no, peb yuav saib lub zog ntawm AI Transformers thiab lawv hloov lub ntiaj teb nyob ib puag ncig peb li cas.
Lub peev xwm ntawm Natural Language Processing
Cia peb pib nrog cov hauv paus. Peb hnov nws nyob txhua qhov chaw yuav luag. Tab sis, dab tsi raws nraim yog natural language processing?
Nws yog ib ntu ntawm artificial txawj ntse uas tsom mus rau kev sib cuam tshuam ntawm tib neeg thiab tshuab los ntawm kev siv cov lus ntuj. Lub hom phiaj yog kom cov khoos phis tawj nkag siab, txhais, thiab tsim cov lus tib neeg kom muaj txiaj ntsig thiab muaj tseeb.
Kev paub hais lus, txhais lus, txoj kev xav hauv nruab siab, thiab cov ntawv sau luv luv yog tag nrho cov piv txwv ntawm NLP daim ntawv thov. Cov qauv NLP qub, ntawm qhov tod tes, tau tawm tsam kom nkag siab cov kev sib txuas ntawm cov lus hauv ib kab lus. Qhov no ua rau cov qib siab ntawm qhov tseeb hauv ntau txoj haujlwm NLP ua tsis tau.
Qhov no yog thaum AI Transformers nkag mus rau hauv daim duab. Los ntawm tus txheej txheem kev saib xyuas tus kheej, transformers tuaj yeem sau cov kev cia siab ntev ntev thiab kev sib txuas ntawm cov lus hauv ib kab lus. Txoj kev no ua rau tus qauv xaiv los mus koom rau ntau ntu ntawm cov tswv yim ua ntu zus. Yog li, nws tuaj yeem nkag siab cov ntsiab lus thiab lub ntsiab lus ntawm txhua lo lus hauv kab lus.
Dab tsi yog cov qauv Transformers
Ib qho AI transformer yog ib kawm tob architecture uas nkag siab thiab ua ntau hom ntaub ntawv. Nws ua tau zoo hauv kev txiav txim siab ntau npaum li cas cov ntaub ntawv cuam tshuam rau ib leeg, xws li cov lus sib txawv hauv ib kab lus sib txuas lossis sib txawv ntawm cov duab sib txawv li cas.
Nws ua haujlwm los ntawm kev faib cov ntaub ntawv mus rau hauv me me thiab tom qab ntawd saib tag nrho cov khoom ntawm ib zaug. Nws zoo li ntau me me robots koom tes los nkag siab cov ntaub ntawv. Tom ntej no, thaum nws paub txhua yam, nws rov sib sau ua ke tag nrho cov khoom los muab cov lus teb lossis cov zis.
AI transformers muaj nuj nqis heev. Lawv tuaj yeem nkag siab cov ntsiab lus thiab txuas mus ntev ntawm cov ntaub ntawv sib txawv. Qhov no yog qhov tseem ceeb rau cov haujlwm xws li kev txhais lus, kev sau ntawv, thiab teb cov lus nug. Yog li, lawv yog lub hlwb tom qab ntau yam nthuav dav uas AI tuaj yeem ua tiav!
Nco ntsoov yog txhua yam koj xav tau
Lub subtitle "Tsom ntsoov yog Txhua Yam Koj Xav Tau" yog hais txog kev tshaj tawm xyoo 2017 uas tau tshaj tawm cov qauv hloov pauv. Nws tau hloov pauv txoj kev qhuab qhia ntawm kev ua lus zoo (NLP).
Cov kws sau ntawv ntawm qhov kev tshawb fawb no tau hais tias tus qauv transformer tus kheej-tsim mechanism muaj zog txaus los coj lub luag hauj lwm ntawm cov pa recurrent thiab convolutional neural networks siv rau NLP cov haujlwm.
Self-Attention yog dab tsi?
Nws yog ib txoj hauv kev uas tso cai rau tus qauv kom mloog zoo rau ntau qhov kev tawm tswv yim ntu ntu thaum tsim cov kev kwv yees.
Hauv lwm lo lus, kev saib xyuas tus kheej ua rau tus qauv los suav cov qhab nia siab rau txhua lub ntsiab lus hais txog tag nrho lwm cov khoom, cia tus qauv sib npaug qhov tseem ceeb ntawm txhua lub ntsiab lus.
Nyob rau hauv ib txoj hauv kev transformer-raws li, kev mloog tus kheej ua haujlwm raws li hauv qab no:
Cov tswv yim ib ntus yog thawj embedded rau hauv ib tug series ntawm vectors, ib tug rau txhua tus tswv cuab ib ntus.
Rau txhua lub caij hauv ib ntus, tus qauv tsim peb pawg vectors: cov lus nug vector, vector tseem ceeb, thiab tus nqi vector.
Cov lus nug vector yog piv rau tag nrho cov vectors tseem ceeb, thiab qhov zoo sib xws yog suav nrog cov khoom lag luam.
Cov qhab nias siab uas tau tshwm sim yog normalized siv softmax muaj nuj nqi, uas tsim ib txheej ntawm qhov hnyav qhia txog qhov tseem ceeb ntawm txhua daim nyob rau hauv ib theem zuj zus.
Yuav kom tsim tau qhov kawg tso zis sawv cev, tus nqi vectors yog muab faib los ntawm qhov hnyav hnyav thiab summed.
Transformer-raws li cov qauv, uas siv tus kheej-kev saib xyuas, tuaj yeem ua tiav kev sib raug zoo ntev hauv cov tswv yim ua ntu zus yam tsis muaj nyob ntawm qhov ntev-ntev cov ntsiab lus qhov rais, ua rau lawv tshwj xeeb tshaj yog rau kev siv cov lus ua haujlwm.
Piv txwv li
Xav tias peb muaj rau-token input ib ntus: "Tus miv zaum ntawm lev." Txhua tus token tuaj yeem sawv cev ua tus vector, thiab cov lus nkag tuaj yeem pom raws li hauv qab no:
Tom ntej no, rau txhua tus token, peb yuav tsim peb pawg vectors: cov lus nug vector, cov vector tseem ceeb, thiab tus nqi vector. Lub embedded token vector yog muab faib los ntawm peb qhov kev kawm qhov hnyav matrices kom tau txais cov vectors.
Rau thawj token "Tus," piv txwv li, cov lus nug, qhov tseem ceeb, thiab tus nqi vectors yuav yog:
Lus nug vector: [0.4, -0.2, 0.1]
Qhov tseem ceeb vector: [0.2, 0.1, 0.5]
Tus nqi vector: [0.1, 0.2, 0.3]
Cov qhab-nees xim ntawm txhua khub ntawm tokens nyob rau hauv ib theem zuj zus yog xam los ntawm tus kheej-tsim mechanism. Piv txwv li, cov qhab nia ntawm qhov tokens 1 thiab 2 "Tus" yuav raug xam raws li cov khoom lag luam ntawm lawv cov lus nug thiab cov vectors tseem ceeb:
Attention score = dot_product(Nug vector of Token 1, Key vector of Token 2)
= (0.4 * 0.8) + (-0.2 * 0.2) + (0.1 * 0.1)
= 0.31
Cov qhab nias siab no qhia txog qhov cuam tshuam ntawm txhua tus token hauv ib ntu rau lwm tus.
Thaum kawg, rau txhua tus token, qhov tso zis sawv cev yog tsim los ntawm kev siv qhov hnyav ntawm tus nqi vectors, nrog rau qhov hnyav txiav txim siab los ntawm cov qhab nias siab. Qhov tso zis sawv cev rau thawj token "Tus," piv txwv li, yuav yog:
Tso zis vector rau Token 1 = (Cov qhab nias siab nrog Token 1) * Tus nqi vector rau Token 2
+ (Cov qhab nias siab nrog Token 3) * Tus nqi vector rau Token 3
+ (Cov qhab nias siab nrog Token 4) * Tus nqi vector rau Token 4
+ (Cov qhab nias siab nrog Token 5) * Tus nqi vector rau Token 5
+ (Cov qhab nias siab nrog Token 6) * Tus nqi vector rau Token 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]
Raws li kev saib xyuas tus kheej, tus qauv hloov pauv tuaj yeem xaiv los mus koom rau ntau qhov sib txawv ntawm cov tswv yim sib lawv liag thaum tsim cov khoom tsim tawm.
Cov ntawv thov muaj ntau dua li koj xav
Vim tias lawv muaj peev xwm hloov tau thiab muaj peev xwm los tswj ntau yam ntawm NLP cov haujlwm, xws li tshuab txhais lus, kev tshuaj xyuas kev xav, kev sau ntawv, thiab lwm yam, AI transformers tau loj hlob nyob rau hauv xyoo tas los no.
AI transformers tau siv nyob rau hauv ntau qhov chaw, suav nrog kev paub txog daim duab, cov lus pom zoo, thiab txawm tias kev tshawb nrhiav tshuaj, ntxiv rau cov ntawv siv hom lus classic.
AI transformers yuav luag tsis muaj kev txwv vim tias lawv tuaj yeem tsim kho rau ntau qhov teeb meem thiab hom ntaub ntawv. AI transformers, nrog rau lawv lub peev xwm los soj ntsuam cov ntaub ntawv nyuaj ua ntu zus thiab khaws cov kev sib raug zoo mus ntev, tau teeb tsa los ua qhov tseem ceeb hauv kev tsim cov ntawv thov AI hauv xyoo tom ntej.
Sib piv nrog lwm cov Neural Network Architectures
Raws li lawv tuaj yeem txheeb xyuas cov kev sib txuas lus thiab nkag siab qhov kev sib raug zoo ntev hauv cov ntawv nyeem, AI transformers tshwj xeeb zoo rau kev ua cov lus ntuj thaum piv rau lwm cov kev siv neural network.
Qee cov neural network architectures, xws li convolutional neural networks (CNNs) thiab recurrent neural networks (RNNs), ntawm qhov tod tes, yog qhov zoo dua rau cov dej num uas cuam tshuam nrog kev tsim cov tswv yim, xws li cov duab lossis cov ntaub ntawv teev sijhawm.
Lub neej yav tom ntej yog Saib Bright
Lub neej yav tom ntej ntawm AI transformers zoo li ci ntsa iab. Ib cheeb tsam ntawm kev kawm tsis tu ncua yog kev txhim kho ntawm cov qauv muaj zog ntau dua uas muaj peev xwm tuav cov haujlwm nyuaj ntxiv.
Ntxiv mus, tau sim ua kom txuas AI transformers nrog rau lwm yam AI technologies, xws li kev txhawb zog kev kawm, los muab kev txiav txim siab ntau dua.
Txhua qhov kev lag luam tab tom sim siv lub peev xwm ntawm AI los tsav kev tsim kho tshiab thiab ua tiav kev sib tw. Yog li, AI transformers zoo li yuav tau txuas ntxiv mus rau ntau yam kev siv, suav nrog kev kho mob, nyiaj txiag, thiab lwm yam.
Nrog rau kev txhim kho txuas ntxiv hauv AI transformer thev naus laus zis thiab lub peev xwm rau cov cuab yeej AI muaj zog no los hloov kho txoj kev tib neeg txheej txheem thiab nkag siab cov lus, lub neej yav tom ntej zoo li ci ntsa iab.
Sau ntawv cia Ncua