{"id":120482,"date":"2024-11-04T13:09:19","date_gmt":"2024-11-04T11:09:19","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya"},"modified":"2024-11-04T13:09:19","modified_gmt":"2024-11-04T11:09:19","slug":"opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya","status":"publish","type":"post","link":"https:\/\/prohoster.info\/cs\/blog\/news\/opublikovana-otkrytaya-ai-model-hertz-dev-dlya-polnodupleksnogo-golosovogo-obshheniya","title":{"rendered":"Byl publikov\u00e1n otev\u0159en\u00fd AI model hertz-dev pro duplexn\u00ed hlasovou komunikaci.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Spole\u010dnost Standard Intelligence ozn\u00e1mila vyd\u00e1n\u00ed hertz-dev, prvn\u00ed otev\u0159en\u00e9 AI modelu pro synt\u00e9zu \u0159e\u010di v pln\u00e9m duplexu, kter\u00fd m\u016f\u017ee b\u00fdt pou\u017eit jako z\u00e1klad pro vytv\u00e1\u0159en\u00ed syst\u00e9m\u016f hlasov\u00e9 komunikace v re\u00e1ln\u00e9m \u010dase nebo generov\u00e1n\u00ed konverza\u010dn\u00ed \u0159e\u010di. Model umo\u017e\u0148uje generovat \u0159e\u010d bl\u00edzkou hlasov\u00fdm dat\u016fm, na kter\u00fdch byl vy\u0161kolen, a zaji\u0161\u0165uje interakci ve stylu \u017eiv\u00e9ho lidsk\u00e9ho dialogu bez prodlen\u00ed, kter\u00e1 p\u0159ipom\u00edn\u00e1 p\u0159eru\u0161ovan\u00fd telefonn\u00ed rozhovor. V\u00fdvoj projektu je \u0161\u00ed\u0159en pod licenc\u00ed Apache 2.0.

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Na syst\u00e9mu s GPU NVIDIA GeForce RTX 4090 je pr\u016fm\u011brn\u00e1 latence p\u0159ed generov\u00e1n\u00edm 120 ms (teoreticky a\u017e 65 ms), co\u017e je p\u0159ibli\u017en\u011b dvakr\u00e1t rychlej\u0161\u00ed ne\u017e u st\u00e1vaj\u00edc\u00edch model\u016f dostupn\u00fdch ve\u0159ejnosti. Publikovan\u00e1 varianta byla postavena na z\u00e1klad\u011b architektury \u201etransformer\u201c, zahrnuje 8,5 miliardy parametr\u016f a byla vy\u0161kolena s vyu\u017eit\u00edm 500 miliard token\u016f. Velikost zohledn\u011bn\u00e9ho kontextu modelem (po\u010det token\u016f, kter\u00e9 model m\u016f\u017ee zpracovat a pamatovat si p\u0159i generov\u00e1n\u00ed \u0159e\u010di) \u010din\u00ed 2048 token\u016f, co\u017e odpov\u00edd\u00e1 p\u0159ibli\u017en\u011b 4 minut\u00e1m \u0159e\u010di.
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