{"id":1828,"date":"2025-05-07T17:31:52","date_gmt":"2025-05-07T15:31:52","guid":{"rendered":"https:\/\/octodeep.com\/blog\/?p=1828"},"modified":"2025-08-18T11:08:32","modified_gmt":"2025-08-18T09:08:32","slug":"co-jsou-to-ai-modely","status":"publish","type":"post","link":"https:\/\/octodeep.com\/blog\/co-jsou-to-ai-modely\/","title":{"rendered":"Co jsou to AI modely?"},"content":{"rendered":"\n

Um\u011bl\u00e1 inteligence<\/a> (AI) je dnes v\u0161ude kolem n\u00e1s \u2013 od rozpozn\u00e1v\u00e1n\u00ed obli\u010dej\u016f v mobilu, p\u0159es doporu\u010dov\u00e1n\u00ed film\u016f na Netflixu a\u017e po samo\u0159iditeln\u00e9 auta. Z\u00e1kladem t\u011bchto chytr\u00fdch technologi\u00ed<\/a> jsou tzv. AI modely. Ale co to vlastn\u011b znamen\u00e1?<\/strong><\/p>\n\n\n\n

Co je AI model?<\/h2>\n\n\n\n

AI model (model um\u011bl\u00e9 inteligence<\/a>) je po\u010d\u00edta\u010dov\u00fd program<\/a>, kter\u00fd se u\u010d\u00ed rozpozn\u00e1vat vzory v datech.<\/strong> Sp\u00ed\u0161e ne\u017e s\u00e1m myslet um\u00ed perfektn\u011b p\u0159edpov\u00eddat. Jin\u00fdmi slovy, je to syst\u00e9m, kter\u00fd dok\u00e1\u017ee p\u0159ij\u00edmat vstupn\u00ed data (nap\u0159\u00edklad obr\u00e1zky, texty nebo \u010d\u00edsla) a na jejich z\u00e1klad\u011b d\u011blat z\u00e1v\u011bry nebo rozhodnut\u00ed. Jakmile je model \u201enau\u010den\u00fd\u201c (natr\u00e9novan\u00fd), m\u016f\u017ee p\u0159edpov\u00eddat v\u00fdsledky nebo reagovat i na data, kter\u00e1 nikdy p\u0159edt\u00edm nevid\u011bl.<\/p>\n\n\n\n

AI modely se vyu\u017e\u00edvaj\u00ed v mnoha oblastech \u2013 od rozpozn\u00e1v\u00e1n\u00ed obr\u00e1zk\u016f a hlasu, p\u0159es anal\u00fdzu text\u016f, detekci podvod\u016f, doporu\u010dov\u00e1n\u00ed produkt\u016f a\u017e po p\u0159edpov\u00edd\u00e1n\u00ed budouc\u00edho v\u00fdvoje.<\/p>\n\n\n\n

\"Octodeep<\/a><\/figure>\n\n\n\n

Jak\u00e9 typy AI model\u016f existuj\u00ed?<\/h2>\n\n\n\n

1. AI modely (AI \u2013 artificial inteligence)<\/strong><\/p>\n\n\n\n

 AI (um\u011bl\u00e1 inteligence) zahrnuje \u0161irokou \u0161k\u00e1lu n\u00e1stroj\u016f a metod, kter\u00e9 napodobuj\u00ed lidskou inteligenci v po\u010d\u00edta\u010d\u00edch. Lze ji pou\u017e\u00edt na r\u016fzn\u00e9 typy<\/a> dat (strukturovan\u00e1 i nestrukturovan\u00e1) a v mnoha oblastech, nap\u0159\u00edklad v rozpozn\u00e1v\u00e1n\u00ed obrazu, zpracov\u00e1n\u00ed jazyka, robotice nebo rozhodovac\u00edch syst\u00e9mech. AI syst\u00e9my mohou b\u00fdt pln\u011b autonomn\u00ed nebo vy\u017eadovat z\u00e1sah \u010dlov\u011bka, jejich v\u00fdvoj a spr\u00e1va jsou v\u0161ak \u010dasto slo\u017eit\u00e9 a n\u00e1ro\u010dn\u00e9 na odborn\u00edky i velk\u00e9 mno\u017estv\u00ed dat. <\/strong>Kv\u016fli slo\u017eit\u00fdm algoritm\u016fm mohou b\u00fdt m\u00e9n\u011b flexibiln\u00ed, h\u016f\u0159e \u0161k\u00e1lovateln\u00e9 a n\u011bkdy i pomalej\u0161\u00ed ne\u017e ML a DL syst\u00e9my.<\/p>\n\n\n\n

2. ML modely (Machine Learning \u2013 strojov\u00e9 u\u010den\u00ed<\/a>):
<\/strong> Tyto modely se u\u010d\u00ed z minul\u00fdch dat a na jejich z\u00e1klad\u011b d\u011blaj\u00ed p\u0159edpov\u011bdi. Pou\u017e\u00edvaj\u00ed r\u016fzn\u00e9 algoritmy, nap\u0159\u00edklad rozhodovac\u00ed stromy, regresi nebo tzv. n\u00e1hodn\u00e9 lesy. Jsou vhodn\u00e9 pro \u00falohy jako rozpozn\u00e1v\u00e1n\u00ed obr\u00e1zk\u016f, anal\u00fdza text\u016f nebo detekce anom\u00e1li\u00ed. V praxi jsou \u0161iroce pou\u017e\u00edv\u00e1ny v oblasti progn\u00f3zov\u00e1n\u00ed<\/a> (nap\u0159. p\u0159edpov\u00edd\u00e1n\u00ed prodej\u016f na p\u0159\u00ed\u0161t\u00ed m\u011bs\u00edc), segmentace (nap\u0159. ur\u010dov\u00e1n\u00ed, zda je transakce podvodn\u00e1, \u010di nikoli) a shlukov\u00e1n\u00ed (nap\u0159. identifikace polo\u017eek nakoupen\u00fdch podobn\u00fdmi z\u00e1kazn\u00edky) a dal\u0161\u00edch doporu\u010dovac\u00edch syst\u00e9m\u016f.<\/p>\n\n\n\n

3. DL modely (Deep Learning<\/a> \u2013 hlubok\u00e9 u\u010den\u00ed):<\/strong>
<\/strong> Jde o speci\u00e1ln\u00ed podskupinu strojov\u00e9ho u\u010den\u00ed<\/a>, kter\u00e1 vyu\u017e\u00edv\u00e1 tzv. neuronov\u00e9 s\u00edt\u011b<\/a> inspirovan\u00e9 lidsk\u00fdm mozkem. Tyto modely jsou velmi siln\u00e9 v rozpozn\u00e1v\u00e1n\u00ed slo\u017eit\u00fdch vzor\u016f, nap\u0159\u00edklad v obrazech, zvuku nebo p\u0159irozen\u00e9m jazyce. Typick\u00fdmi n\u00e1stroji<\/a> jsou TensorFlow nebo PyTorch. Hlubok\u00e9 u\u010den\u00ed se vyu\u017e\u00edv\u00e1 pr\u00e1v\u011b v samo\u0159\u00edd\u00edc\u00edch autech nebo u digit\u00e1ln\u00edch hlasov\u00fdch asistent\u016f.<\/p>\n\n\n\n

Na tomto obr\u00e1zku m\u016f\u017eete vid\u011bt, jak\u00e9 jsou podoblasti um\u011bl\u00e9 inteligence. AI modely jsou tedy podoblasti r\u016fzn\u00fdch cel\u00fdch syst\u00e9m\u016f um\u011bl\u00e9 inteligence, zna\u010dka Chat GPT je tedy rodinou v\u0161ech model\u016f – AI n\u00e1stroj a konkr\u00e9tn\u00ed model je pak to \u010d\u00edslo, kter\u00e9 najdete za poml\u010dkou tohoto n\u00e1zvu. <\/strong>Model\u016f je stra\u0161n\u011b moc, ale zn\u00e1m\u00fdch n\u00e1stroj\u016f tolik nen\u00ed. Li\u0161\u00ed se mezi sebou sp\u00ed\u0161e n\u00e1stroje<\/a>, ka\u017ed\u00fd nov\u00fd model dan\u00e9 spole\u010dnosti m\u00e1 podobn\u00e9 vlastnosti jako ten p\u0159edchoz\u00ed, ale lep\u0161\u00ed.<\/p>\n\n\n\n

\"Sch\u00e9ma
Zdroj: Viso.ai<\/a><\/figcaption><\/figure>\n\n\n\n

Jak AI modely funguj\u00ed?<\/h2>\n\n\n\n
    \n
  1. Modelov\u00e1n\u00ed:<\/strong>
    <\/strong> Nejprve se navrhne model, tedy algoritmus, kter\u00fd bude data analyzovat a rozhodovat.
    <\/li>\n\n\n\n
  2. Tr\u00e9nov\u00e1n\u00ed:<\/strong>
    <\/strong> Model se \u201eu\u010d\u00ed\u201c na velk\u00e9m mno\u017estv\u00ed dat. U\u010d\u00ed se rozpozn\u00e1vat vzory a vztahy mezi vstupy a v\u00fdstupy. Existuj\u00ed t\u0159i hlavn\u00ed p\u0159\u00edstupy:
    \n