{"id":6739,"date":"2021-05-13T08:01:47","date_gmt":"2021-05-13T06:01:47","guid":{"rendered":"https:\/\/kinit.sk\/will-we-talk-with-machines-one-day\/"},"modified":"2021-05-19T15:07:16","modified_gmt":"2021-05-19T13:07:16","slug":"will-we-talk-with-machines-one-day","status":"publish","type":"post","link":"https:\/\/kinit.sk\/sk\/will-we-talk-with-machines-one-day\/","title":{"rendered":"Budeme sa vedie\u0165 rozpr\u00e1va\u0165 so strojmi?"},"content":{"rendered":"
\n

Jazykov\u00fd model je nevidite\u013en\u00e1 technol\u00f3gia, ktor\u00fa pou\u017e\u00edva prakticky ka\u017ed\u00fd \u010dlovek pripojen\u00fd na internet, a zrejme o tom ani nevie. Vo svojej podstate ide o jednoduch\u00fd koncept, o model \u010di algoritmus, ktor\u00fd dok\u00e1\u017ee predpoveda\u0165, ak\u00e9 slovo nasleduje v \u013eubovo\u013enej nedokon\u010denej vete. Ke\u010f teda jazykov\u00fd model spracuje text: \u201cI\u0161iel som vyven\u010di\u0165 svojho \u2026\u201d<\/em>, vie odhadn\u00fa\u0165, \u017ee s ve\u013ekou pravdepodobnos\u0165ou bude nasledova\u0165 slovo psa<\/em>. Tak\u00e1to technol\u00f3gia m\u00e1 nieko\u013eko o\u010dividn\u00fdch, ale aj menej zrejm\u00fdch vyu\u017eit\u00ed.<\/p>\n<\/div>\n\n

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Medzi tie zrejm\u00e9 patr\u00ed automatick\u00e9 dop\u013a\u0148anie slov pri p\u00edsan\u00ed na kl\u00e1vesnici, ktor\u00e9 sa be\u017ene pou\u017e\u00edva na mobiln\u00fdch telef\u00f3noch. Napriek tomu, \u017ee mo\u017eno pou\u017e\u00edvate\u013e netraf\u00ed spr\u00e1vne v\u0161etky p\u00edsmen\u00e1, jazykov\u00fd model si vie domyslie\u0165, ak\u00e9 slovo asi chcel nap\u00edsa\u0165. Podobn\u00fdm sp\u00f4sobom sa pou\u017e\u00edva aj pri prepise re\u010di do textu, \u010do je tie\u017e popul\u00e1rna funkcia mobiln\u00fdch telef\u00f3nov. Aj napriek tomu, \u017ee nie v\u017edy je pou\u017e\u00edvate\u013eovi rozumie\u0165 — m\u00f4\u017ee napr\u00edklad pr\u00e1ve by\u0165 na hlu\u010dnej ulici — jazykov\u00fd model si vie domyslie\u0165, ak\u00e9 \u010fal\u0161ie slovo asi chcel poveda\u0165.<\/p>\n<\/div>\n\n

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Pr\u00edklad dop\u013a\u0148ania vety. Zdroj<\/a><\/figcaption><\/figure><\/div>\n<\/div>\n\n
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Okrem toho sa ale jazykov\u00e9 modely daj\u00fa pou\u017e\u00edva\u0165 aj v prakticky ka\u017edej aplik\u00e1cii spracovania prirodzen\u00e9ho jazyka, napr. pri strojovom preklade (napr. Google Translate), vyh\u013ead\u00e1van\u00ed inform\u00e1ci\u00ed (napr. Google Search), oprave ch\u00fdb (napr. Microsoft Office Word) a mnoh\u00fdch \u010fal\u0161\u00edch. V s\u00fa\u010dasnosti ve\u013emi r\u00fdchlo narast\u00e1 mno\u017estvo textu, ktor\u00e9 \u013eudstvo denne vyprodukuje, a tento text sa \u010dasto automaticky sprac\u00fava a analyzuje. Na toto spracovanie sa potom vyu\u017e\u00edvaj\u00fa tie\u017e pr\u00e1ve jazykov\u00e9 modely. Okrem samotnej predikcie sa sleduj\u00fa aj zmeny vo vn\u00fatornom stave t\u00fdchto modelov, ktor\u00e9 reaguj\u00fa na prich\u00e1dzaj\u00face slov\u00e1 a z t\u00fdchto zmien sa potom daj\u00fa odvodzova\u0165 \u010fal\u0161ie znalosti o texte. Tento koncept u\u017e ale s\u00favis\u00ed s t\u00fdm, \u017ee jazykov\u00e9 modely s\u00fa dnes naj\u010dastej\u0161ie realizovan\u00e9 ako neur\u00f3nov\u00e9 siete — modely strojov\u00e9ho u\u010denia in\u0161pirovan\u00e9 biologick\u00fdmi neur\u00f3nov\u00fdmi sie\u0165ami.<\/p>\n<\/div>\n\n

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Pr\u00e1ve pokrok v tejto oblasti v posledn\u00fdch rokoch pomohol pri vzniku \u010doraz lep\u0161\u00edch jazykov\u00fdch modelov. Tie vznikaj\u00fa tak, \u017ee sa najprv vytvor\u00ed sie\u0165 neur\u00f3nov — najv\u00e4\u010d\u0161ie siete ich maj\u00fa nieko\u013eko mili\u00e1rd, a tak\u00e1to sie\u0165 sa potom u\u010d\u00ed z textov\u00e9ho korpusu, ktor\u00fd sl\u00fa\u017ei ako uk\u00e1\u017eka toho, ak\u00e9 vety sa tvoria. S rozvojom webu nar\u00e1stli aj tieto korpusy a dnes u\u017e jazykov\u00e9 modely sprac\u00favaj\u00fa stovky gigabajtov textov\u00fdch d\u00e1t, z ktor\u00fdch sa u\u010dia o jazykoch. Tak\u00e1to mierka je ale zatia\u013e mo\u017en\u00e1 len pre angli\u010dtinu a mo\u017eno \u010d\u00edn\u0161tinu. Zauj\u00edmav\u00fdm poznatkom je, \u017ee ke\u010f sa takto zv\u00e4\u010d\u0161\u00ed mierka modelov a d\u00e1t, z ktor\u00fdch sa u\u010dia, vzniknut\u00e9 modely za\u010dn\u00fa by\u0165 nesmierne presn\u00e9. \u013dudia u\u017e \u010dasto ani nevedia odhali\u0165, \u017ee text, ktor\u00fd vygenerovali, vytvoril po\u010d\u00edta\u010d a nie \u010dlovek. Jazykov\u00e9 modely dnes vytv\u00e1raj\u00fa gramaticky spr\u00e1vne vety, vedia odpoveda\u0165 na ot\u00e1zky a z textov\u00e9ho korpusu si pam\u00e4taj\u00fa mnoh\u00e9 fakty o svete.<\/p>\n<\/div>\n\n

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Najv\u00e4\u010d\u0161\u00ed z\u00e1ujem v ned\u00e1vnej minulosti vzbudil model s n\u00e1zvom GPT-3 od spolo\u010dnosti OpenAI, ktor\u00fd dokonca nap\u00edsal jeden st\u013ap\u010dek v novin\u00e1ch The Guardian. Jeden s pou\u017e\u00edvate\u013eov tohto modelu ho aplikoval na soci\u00e1lnej sieti Reddit, kedy s n\u00edm sk\u00fa\u0161al vytv\u00e1ra\u0165 odpovede na ot\u00e1zky ostatn\u00fdch pou\u017e\u00edvate\u013eov. Kvalitu v\u00fdstupu m\u00f4\u017eete zhodnoti\u0165 sami:<\/p>\n<\/div>\n\n

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Otazka na reddite: Elevator-maintenance folks, what is the weirdest thing you have found at the bottom of the elevator chamber?<\/strong><\/p>\n<\/div>\n\n

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GPT-3 odpove\u010f: The first thing that comes to mind is the recent discovery of a colony of humans living in the shafts and elevator machinery at the bottom of buildings. This was an extraordinary find for sociologists and anthropologists, revealing more about human culture than had ever been possible before. The discovery was made when an elevator repair worker at a building in Washington DC tripped over a shoe that had fallen between the walls of the shaft. The emergency stop button was pressed and the broken machinery triggered a shutdown across all elevators within two city blocks, trapping hundreds of people for hours.
In the investigation that followed it was found that hundreds of people had been living in the elevator shafts and maintenance tunnels for over a decade, making homes out of discarded machinery. As it turns out, the people who lived in these shafts and tunnels were homeless. Many of them had been living on the streets for decades, surviving by scavenging from dumpsters and sleeping under bridges. When the construction of the housing bubble began, these homeless people were forced out to make way for new buildings. But since they had nowhere else to go, and so many of them were desperate for shelter, they found a place in the elevator machinery. I have seen footage of the shafts where they lived, and it is truly an extraordinary sight. I had no idea that humans could be so resourceful.<\/p>\n<\/div>\n\n

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Modely, ktor\u00e9 dosahuj\u00fa tak\u00fato kvalitu, potom otv\u00e1raj\u00fa nieko\u013eko zauj\u00edmav\u00fdch etick\u00fdch ot\u00e1zok. Dok\u00e1\u017eu napr\u00edklad pomerne \u00faspe\u0161ne p\u00edsa\u0165 \u010dl\u00e1nky, pr\u00edspevky na soci\u00e1lne siete \u010di dokonca vies\u0165 konverz\u00e1ciu. Maj\u00fa \u013eudia pr\u00e1vo vedie\u0165, \u017ee komunikuj\u00fa so strojom? Ak\u00fd postoj by mala spolo\u010dnos\u0165 zauja\u0165 ku strojom, ktor\u00e9 sa na soci\u00e1lnych sie\u0165ach pou\u017e\u00edvaj\u00fa na vedenie rozli\u010dn\u00fdch kampan\u00ed? Ot\u00e1zkou je tie\u017e ochrana s\u00fakromia. Jazykov\u00e9 modely s\u00fa \u010dasto tr\u00e9novan\u00e9 na d\u00e1tach stiahnut\u00fdch z webu, ale tieto d\u00e1ta m\u00f4\u017eu obsahova\u0165 aj s\u00fakromn\u00e9 \u00fadaje alebo \u00fadaje o \u013eu\u010foch, ktor\u00ed si ne\u017eelaj\u00fa, aby sa tieto \u00fadaje uchov\u00e1vali. <\/p>\n<\/div>\n\n

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V s\u00fa\u010dasnosti sa ved\u00fa pr\u00e1ve boje o pr\u00e1vo na zabudnutie. Tieto boje bude treba zvies\u0165 aj pri jazykov\u00fdch modeloch. \u010eal\u0161\u00edm probl\u00e9mom s\u00favisiacim so spracovan\u00edm textu z webu s\u00fa rozli\u010dn\u00e9 formy asoci\u00e1lneho spr\u00e1vania. Text m\u00f4\u017ee obsahova\u0165 kon\u0161pira\u010dn\u00e9 te\u00f3rie, rasistick\u00e9 texty, texty podnecuj\u00face k n\u00e1siliu, klamstv\u00e1 a ak\u00e9ko\u013evek \u010fal\u0161ie negat\u00edvne javy, ktor\u00e9 \u013eudsk\u00e1 spolo\u010dnos\u0165 produkuje. Jazykov\u00fd model v\u0161ak nevie rozl\u00ed\u0161i\u0165 hodnotu t\u00fdchto textov a preber\u00e1 ich do seba takisto ako ak\u00fdko\u013evek in\u00fd text. Pochybn\u00e9 znalosti sa potom m\u00f4\u017eu pretavi\u0165 aj do aplik\u00e1ci\u00ed, kde sa tak\u00e9to jazykov\u00e9 modely pou\u017e\u00edvaj\u00fa.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Jazykov\u00fd model je nevidite\u013en\u00e1 technol\u00f3gia, ktor\u00fa pou\u017e\u00edva prakticky ka\u017ed\u00fd \u010dlovek pripojen\u00fd na internet, a zrejme o tom ani nevie. Vo svojej podstate ide o jednoduch\u00fd koncept, o model \u010di algoritmus,…<\/p>\n","protected":false},"author":4,"featured_media":6623,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[82,88],"tags":[187],"class_list":["post-6739","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2021-sk","category-pop-science-sk","tag-nlp-sk"],"acf":[],"yoast_head":"\nBudeme sa vedie\u0165 rozpr\u00e1va\u0165 so strojmi? - KInIT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/will-we-talk-with-machines-one-day\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Budeme sa vedie\u0165 rozpr\u00e1va\u0165 so strojmi? - KInIT\" \/>\n<meta property=\"og:description\" content=\"Jazykov\u00fd model je nevidite\u013en\u00e1 technol\u00f3gia, ktor\u00fa pou\u017e\u00edva prakticky ka\u017ed\u00fd \u010dlovek pripojen\u00fd na internet, a zrejme o tom ani nevie. 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