Spole\u010dnost Google p\u0159edstavila vyd\u00e1n\u00ed n\u00e1stroje Magika 1.0, ur\u010den\u00e9ho k ur\u010den\u00ed typu obsahu na z\u00e1klad\u011b anal\u00fdzy dat obsa\u017een\u00fdch v souboru. Magika dok\u00e1\u017ee p\u0159esn\u011b ur\u010dit programovac\u00ed jazyky, metody komprese, instala\u010dn\u00ed bal\u00ed\u010dky, spustiteln\u00fd k\u00f3d, typy zna\u010dkov\u00e1n\u00ed, form\u00e1ty zvuku, videa, dokument\u016f a obr\u00e1zk\u016f obsa\u017een\u00e9 v obsahu. Souvisej\u00edc\u00ed n\u00e1stroje a hotov\u00fd model strojov\u00e9ho u\u010den\u00ed se \u0161\u00ed\u0159\u00ed pod licenc\u00ed Apache 2.0. Knihovny byly p\u0159ipraveny pro jazyky Rust, Python, JavaScript\/TypeScript a Go. <\/p>\n
Na rozd\u00edl od podobn\u00fdch projekt\u016f, kter\u00e9 ur\u010duj\u00ed MIME typ na z\u00e1klad\u011b obsahu, se Magika vyzna\u010duje pou\u017eit\u00edm metod strojov\u00e9ho u\u010den\u00ed, v\u00fdkonem<\/a> a p\u0159esnost\u00ed ur\u010den\u00ed. Model byl vy\u0161kolen pomoc\u00ed frameworku Keras na 100 milionech p\u0159\u00edklad\u016f soubor\u016f (velikost datov\u00e9 sady p\u0159es 3 TB) a podporuje rozpozn\u00e1v\u00e1n\u00ed 200 typ\u016f dat s p\u0159esnost\u00ed alespo\u0148 99 %. Model je sestaven ve form\u00e1tu ONNX a m\u00e1 velikost pouh\u00fdch n\u011bkolik megabajt\u016f. Vyu\u017eit\u00ed metod hlubok\u00e9ho strojov\u00e9ho u\u010den\u00ed umo\u017enilo zv\u00fd\u0161it p\u0159esnost ur\u010den\u00ed o 50 % ve srovn\u00e1n\u00ed s d\u0159\u00edve pou\u017e\u00edvan\u00fdm syst\u00e9mem Google zalo\u017een\u00fdm na ru\u010dn\u011b definovan\u00fdch pravidlech. <\/p>\n V Google se syst\u00e9m pou\u017e\u00edv\u00e1 k t\u0159\u00edd\u011bn\u00ed soubor\u016f v slu\u017eb\u00e1ch Gmail, Drive, Code Insight a Safe Browsing p\u0159i prov\u00e1d\u011bn\u00ed bezpe\u010dnostn\u00edch kontrol a dodr\u017eov\u00e1n\u00ed pravidel slu\u017eeb. Magika je integrov\u00e1na do platforem VirusTotal a abuse.ch jako prvek pro prim\u00e1rn\u00ed filtrov\u00e1n\u00ed soubor\u016f p\u0159ed proveden\u00edm specifick\u00fdch analyz\u00e1tor\u016f. Nasazen\u00e1 konfigurace Magika ve struktu\u0159e Google zaji\u0161\u0165uje skenov\u00e1n\u00ed n\u011bkolika milion\u016f soubor\u016f za sekundu a n\u011bkolika stovek miliard soubor\u016f t\u00fddn\u011b. Po nahr\u00e1n\u00ed modelu \u010din\u00ed doba pot\u0159ebn\u00e1 pro generov\u00e1n\u00ed v\u00fdstupu 5 ms p\u0159i testov\u00e1n\u00ed na jednom CPU j\u00e1d\u0159e. Doba ur\u010den\u00ed t\u00e9m\u011b\u0159 nez\u00e1vis\u00ed na velikosti souboru. <\/p>\n Pro Magika jsou k dispozici n\u00e1stroje pro p\u0159\u00edkazov\u00fd \u0159\u00e1dek, bal\u00ed\u010dky pro Python, Rust a Go, stejn\u011b jako JavaScriptov\u00e1 knihovna, kter\u00e1 m\u016f\u017ee fungovat v prohl\u00ed\u017ee\u010di nebo v projektech zalo\u017een\u00fdch na Node.js. Rozhran\u00ed p\u0159\u00edkazov\u00e9ho \u0159\u00e1dku a API podporuj\u00ed d\u00e1vkov\u00e9 zpracov\u00e1n\u00ed, co\u017e znamen\u00e1, \u017ee lze ov\u011b\u0159it n\u011bkolik soubor\u016f jedn\u00edm po\u017eadavkem. Existuje re\u017eim rekurzivn\u00edho skenov\u00e1n\u00ed cel\u00e9ho obsahu adres\u00e1\u0159e a t\u0159i re\u017eimy predikce, kter\u00e9 umo\u017e\u0148uj\u00ed nastaven\u00ed odolnosti v\u016f\u010di chyb\u00e1m (vysok\u00e1 jistota, st\u0159edn\u00ed jistota a nejlep\u0161\u00ed odhad). <\/p>\n Projekt byl p\u016fvodn\u011b vyv\u00edjen v jazyce Python, ale p\u0159i p\u0159\u00edprav\u011b verze 1.0 byl engine pro rozpozn\u00e1v\u00e1n\u00ed typ\u016f obsahu p\u0159epracov\u00e1n v jazyce Rust, co\u017e umo\u017enilo dos\u00e1hnout vy\u0161\u0161\u00edho v\u00fdkonu p\u0159i zachov\u00e1n\u00ed adekv\u00e1tn\u00ed \u00farovn\u011b zabezpe\u010den\u00ed k\u00f3du. Pro implementaci modelu strojov\u00e9ho u\u010den\u00ed byl pou\u017eit framework ONNX Runtime a pro paraleln\u00ed asynchronn\u00ed zpracov\u00e1n\u00ed po\u017eadavk\u016f knihovna Tokio. Na MacBooku Pro (M4) engine dosahuje v\u00fdkonu, kter\u00fd umo\u017e\u0148uje zpracov\u00e1vat p\u0159ibli\u017en\u011b 1000 soubor\u016f za sekundu. <\/p>\n Krom\u011b nov\u00e9ho engine se ve verzi 1.0 uv\u00e1d\u00ed roz\u0161\u00ed\u0159en\u00ed po\u010dtu podporovan\u00fdch typ\u016f z p\u0159ibli\u017en\u011b 100 na 200; p\u0159id\u00e1n\u00ed nov\u00e9ho p\u0159\u00edkazov\u00e9ho klienta napsan\u00e9ho v Rustu; zv\u00fd\u0161en\u00ed p\u0159esnosti ur\u010dov\u00e1n\u00ed textov\u00fdch form\u00e1t\u016f, jako jsou konfigura\u010dn\u00ed soubory a k\u00f3d; p\u0159epracov\u00e1n\u00ed modul\u016f pro Python a TypeScript k usnadn\u011bn\u00ed jejich integrace s dal\u0161\u00edmi projekty. Mezi nov\u011b podporovan\u00e9 typy obsahu pat\u0159\u00ed form\u00e1ty pou\u017e\u00edvan\u00e9 ve strojov\u00e9m u\u010den\u00ed a AI; programovac\u00ed jazyky Swift, Kotlin, TypeScript, Dart, Solidity (solidity), Web Assembly a Zig; DevOps komponenty (Dockerfiles, TOML, HashiCorp, buildovac\u00ed soubory Bazel a pravidla YARA); datab\u00e1ze SQLite; soubory AutoCAD (dwg, dxf), Adobe Photoshop (psd) a p\u00edsma (woff, woff2). Bylo vylep\u0161eno d\u011blen\u00ed k\u00f3du na C++ a C, JavaScript a TypeScript. \u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u0440\u0435\u043b\u0438\u0437 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u044f Magika 1.0, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0433\u043e \u0434\u043b\u044f \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u044f \u0442\u0438\u043f\u0430 \u0441\u043e\u0434\u0435\u0440\u0436\u0438\u043c\u043e\u0433\u043e \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438\u043c\u0435\u044e\u0449\u0438\u0445\u0441\u044f \u0432 \u0444\u0430\u0439\u043b\u0435 \u0434\u0430\u043d\u043d\u044b\u0445. 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\u0421\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0439 \u0441 \u043f\u0440\u043e\u0435\u043a\u0442\u043e\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u0440\u0438\u0439 \u0438 \u0433\u043e\u0442\u043e\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u044e\u0442\u0441\u044f \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 Apache 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Zdroj: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"