{"id":8504,"date":"2024-06-28T07:02:11","date_gmt":"2024-06-28T07:02:11","guid":{"rendered":"https:\/\/www.slovensko.ai\/?p=8504"},"modified":"2024-07-16T07:19:14","modified_gmt":"2024-07-16T07:19:14","slug":"revolucia-v-optimalizacii-modelov-robime-ai-dostupnejsim-a-efektivnejsim","status":"publish","type":"post","link":"https:\/\/www.slovensko.ai\/en\/revolucia-v-optimalizacii-modelov-robime-ai-dostupnejsim-a-efektivnejsim\/","title":{"rendered":"Revol\u00facia v optimaliz\u00e1cii modelov: Rob\u00edme AI dostupnej\u0161\u00edm a efekt\u00edvnej\u0161\u00edm"},"content":{"rendered":"
<\/span> 717<\/span> Viden\u00ed<\/span><\/div>
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Revol\u00facia v optimaliz\u00e1cii modelov: Rob\u00edme AI dostupnej\u0161\u00edm a efekt\u00edvnej\u0161\u00edm<\/h3>\n

Ako sa umel\u00e1 inteligencia<\/strong>\u00a0st\u00e1le viac integruje do r\u00f4znych oblast\u00ed n\u00e1\u0161ho \u017eivota, pozornos\u0165 sa \u010doraz viac s\u00fastre\u010fuje na to, ako spravi\u0165 modely AI<\/strong>\u00a0efekt\u00edvnej\u0161\u00edmi, \u0161k\u00e1lovate\u013enej\u0161\u00edmi a pr\u00edstupnej\u0161\u00edmi. Najnov\u0161ie pokroky v optimaliz\u00e1cii modelov nielen\u017ee zvy\u0161uj\u00fa v\u00fdkon syst\u00e9mov umelej inteligencie, ale tie\u017e demokratizuj\u00fa technol\u00f3giu, \u010do umo\u017e\u0148uje \u0161ir\u0161iu \u0161k\u00e1lu aplik\u00e1ci\u00ed a pou\u017e\u00edvate\u013eov. Po\u010fme sa pozrie\u0165 na \u0161pi\u010dkov\u00e9 techniky a trendy, ktor\u00e9 ved\u00fa t\u00fato revol\u00faciu v optimaliz\u00e1cii modelov.<\/p>\n

1. Adapt\u00e1cia s n\u00edzkym po\u010dtom parametrov (Low Rank Adaptation, LoRA)<\/h4>\n

Low Rank Adaptation (LoRA) je prelomov\u00e1 technika navrhnut\u00e1 na zjednodu\u0161enie a zr\u00fdchlenie procesu dola\u010fovania modelov strojov\u00e9ho u\u010denia. Namiesto aktualiz\u00e1cie v\u0161etk\u00fdch parametrov predtr\u00e9novan\u00e9ho modelu, LoRA zmraz\u00ed p\u00f4vodn\u00e9 v\u00e1hy modelu a vklad\u00e1 tr\u00e9novate\u013en\u00e9 vrstvy, ktor\u00e9 predstavuj\u00fa zmeny ako men\u0161ie, ni\u017e\u0161ie matice. To v\u00fdrazne zni\u017euje po\u010det parametrov, ktor\u00e9 je potrebn\u00e9 aktualizova\u0165, \u010do vedie k r\u00fdchlej\u0161iemu dola\u010fovaniu a zn\u00ed\u017eenej spotrebe pam\u00e4te. T\u00e1to met\u00f3da sa uk\u00e1zala ako mimoriadne \u00fa\u010dinn\u00e1 pre modely zalo\u017een\u00e9 na transform\u00e1toroch, ktor\u00e9 sa \u0161iroko pou\u017e\u00edvaj\u00fa v oblasti spracovania prirodzen\u00e9ho jazyka (NLP) a in\u00fdch dom\u00e9n\u200b (<\/span>IBM – United States<\/a>)<\/span><\/span>\u200b.<\/p>\n

2. Kvantiz\u00e1cia<\/h4>\n

Kvantiz\u00e1cia je \u010fal\u0161ia k\u013e\u00fa\u010dov\u00e1 technika zameran\u00e1 na zn\u00ed\u017eenie v\u00fdpo\u010dtovej z\u00e1\u0165a\u017ee modelov. Zn\u00ed\u017een\u00edm presnosti d\u00e1tov\u00fdch bodov pou\u017eit\u00fdch na reprezent\u00e1ciu parametrov modelu \u2013 napr\u00edklad z 16-bitov\u00fdch floating point na 8-bitov\u00e9 integer hodnoty \u2013 kvantiz\u00e1cia zni\u017euje spotrebu pam\u00e4te a ur\u00fdch\u013euje inferenciu bez v\u00fdraznej\u0161ieho kompromitovania presnosti. Kombin\u00e1cia kvantiz\u00e1cie s technikami ako LoRA (naz\u00fdvan\u00e1 QLoRA) uk\u00e1zala potenci\u00e1l pri \u010fal\u0161om zlep\u0161ovan\u00ed efektivity nasadzovania modelov, \u010d\u00edm sa mocn\u00e1 umel\u00e1 inteligencia st\u00e1va dostupnej\u0161ou aj na menej v\u00fdkonnom hardv\u00e9ri\u200b (<\/span>IBM – United States<\/a>)<\/span><\/span>\u200b.<\/p>\n

3. Priama preferen\u010dn\u00e1 optimaliz\u00e1cia (Direct Preference Optimization, DPO)<\/h4>\n

Direct Preference Optimization (DPO) sa st\u00e1va jednoduch\u0161ou alternat\u00edvou k tradi\u010dn\u00fdm met\u00f3dam ako je Reinforcement Learning from Human Feedback (RLHF). Tradi\u010dn\u00e9 met\u00f3dy ako RLHF s\u00fa komplexn\u00e9 a nestabiln\u00e9, zatia\u013e \u010do DPO pon\u00faka podobn\u00e9 v\u00fdhody s ni\u017e\u0161\u00edmi v\u00fdpo\u010dtov\u00fdmi n\u00e1rokmi a podstatne jednoduch\u0161ou implement\u00e1ciou. T\u00e1to met\u00f3da s\u013eubuje efekt\u00edvnej\u0161ie zos\u00faladenie v\u00fdstupov modelov s \u013eudsk\u00fdmi preferenciami, \u010do je obzvl\u00e1\u0161\u0165 u\u017eito\u010dn\u00e9 pre chatovacie modely a aplik\u00e1cie zalo\u017een\u00e9 na AI\u200b (<\/span>IBM – United States<\/a>)<\/span><\/span>\u200b.<\/p>\n

Z\u00e1ver<\/h3>\n

Tieto pokroky v optimaliz\u00e1cii modelov predstavuj\u00fa v\u00fdznamn\u00fd krok smerom k \u0161ir\u0161iemu vyu\u017eitiu a pr\u00edstupnosti umelej inteligencie. Techniky ako LoRA, kvantiz\u00e1cia a DPO umo\u017e\u0148uj\u00fa efekt\u00edvnej\u0161ie a ekonomickej\u0161ie nasadzovanie AI modelov, \u010do m\u00f4\u017ee podnieti\u0165 inov\u00e1ciu a v\u00fdvoj nov\u00fdch aplik\u00e1ci\u00ed naprie\u010d r\u00f4znymi priemyseln\u00fdmi odvetviami. Ako sa AI<\/strong> technol\u00f3gie na\u010falej vyv\u00edjaj\u00fa, optimaliz\u00e1cia modelov zostane k\u013e\u00fa\u010dov\u00fdm faktorom pri zvy\u0161ovan\u00ed ich v\u00fdkonu a dostupnosti.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

717 Viden\u00ed Revol\u00facia v optimaliz\u00e1cii modelov: Rob\u00edme AI dostupnej\u0161\u00edm a efekt\u00edvnej\u0161\u00edm Ako sa umel\u00e1 inteligencia\u00a0st\u00e1le viac integruje do r\u00f4znych oblast\u00ed n\u00e1\u0161ho \u017eivota, pozornos\u0165 sa \u010doraz viac s\u00fastre\u010fuje na to, ako spravi\u0165 modely AI\u00a0efekt\u00edvnej\u0161\u00edmi, \u0161k\u00e1lovate\u013enej\u0161\u00edmi a pr\u00edstupnej\u0161\u00edmi. Najnov\u0161ie pokroky v optimaliz\u00e1cii modelov nielen\u017ee zvy\u0161uj\u00fa v\u00fdkon syst\u00e9mov umelej inteligencie, ale tie\u017e demokratizuj\u00fa technol\u00f3giu, \u010do umo\u017e\u0148uje \u0161ir\u0161iu \u0161k\u00e1lu […]<\/p>\n","protected":false},"author":2,"featured_media":6530,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[51,227],"tags":[],"class_list":["post-8504","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-most-readable-articles"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/posts\/8504"}],"collection":[{"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/comments?post=8504"}],"version-history":[{"count":1,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/posts\/8504\/revisions"}],"predecessor-version":[{"id":9166,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/posts\/8504\/revisions\/9166"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/media\/6530"}],"wp:attachment":[{"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/media?parent=8504"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/categories?post=8504"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.slovensko.ai\/en\/wp-json\/wp\/v2\/tags?post=8504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}