{"id":2986,"date":"2025-01-03T08:50:56","date_gmt":"2025-01-03T08:50:56","guid":{"rendered":"https:\/\/genaisa.eu\/?p=2986"},"modified":"2025-01-23T09:22:25","modified_gmt":"2025-01-23T07:22:25","slug":"pradedanciuju-vadovas-padedantis-suprasti-pagrindus","status":"publish","type":"post","link":"https:\/\/genaisa.eu\/lt\/a-beginners-guide-to-generative-ai-understanding-the-basics\/","title":{"rendered":"Generatyvaus AI vadovas pradedan\u010diajam: pagrind\u0173 supratimas"},"content":{"rendered":"

Generatyvusis AI greitai tapo viena labiausiai transformuojan\u010di\u0173 XXI am\u017eiaus technologij\u0173. Nuo tikrovi\u0161k\u0173 vaizd\u0173 ir vaizdo \u012fra\u0161\u0173 k\u016brimo iki sud\u0117tingo kodo ra\u0161ymo \u0161is dirbtinio intelekto pogrupis gali pakeisti pramon\u0117s \u0161akas ir kasdien\u012f gyvenim\u0105. Bet kas tiksliai yra generatyvusis AI ir kaip jis veikia? \u0160iame pradedan\u010di\u0173j\u0173 vadove suskirstysime pagrindus ir pad\u0117sime suprasti, kod\u0117l tai tokia novatori\u0161ka naujov\u0117.<\/p>\n\n\n\n

Kas yra generuojantis AI?<\/strong><\/h4>\n\n\n\n

Generatyvusis AI rei\u0161kia sistemas, kurios naudoja ma\u0161ininio mokymosi modelius naujam turiniui generuoti pagal esamus duomenis. Skirtingai nuo tradicinio dirbtinio intelekto, kuriame pagrindinis d\u0117mesys skiriamas analizei ir prognozavimui pagal \u012fvestis, generatyvus AI sukuria i\u0161vestis, pvz., tekst\u0105, vaizdus, gars\u0105 ar net vaizdo \u012fra\u0161\u0105. Pavyzd\u017eiui, OpenAI ChatGPT ir DALL\u00b7E gali ra\u0161yti es\u0117 arba sukurti unikalius vaizdus i\u0161 paprast\u0173 teksto raginim\u0173.<\/p>\n\n\n\n

Kaip veikia generuojamasis AI?<\/strong><\/h4>\n\n\n\n

Generatyvaus AI pagrindas yra pa\u017eang\u016bs ma\u0161ininio mokymosi modeliai, vadinami Generative Adversarial Networks (GAN)<\/strong> ir Transformatoriai<\/strong>. \u0160ie modeliai mokosi i\u0161 did\u017eiuli\u0173 duomen\u0173 rinkini\u0173, kad nustatyt\u0173 modelius ir strukt\u016bras, tod\u0117l jie gali generuoti visi\u0161kai naujus rezultatus. \u0160tai supaprastintas suskirstymas:<\/p>\n\n\n\n

    \n
  1. Mokymo etapas<\/strong>: AI modelis mokosi i\u0161 duomen\u0173 rinkinio, pvz., vaizd\u0173, teksto ar garso fail\u0173.<\/li>\n\n\n\n
  2. Kartos faz\u0117<\/strong>: I\u0161mokytas modelis naudoja \u012fgytas \u017einias, kad sukurt\u0173 nauj\u0105 turin\u012f, atitinkant\u012f duomen\u0173 rinkinyje esan\u010dius \u0161ablonus.<\/li>\n\n\n\n
  3. Patikslinimas<\/strong>: modelis nuolat tobulinamas naudojant gr\u012f\u017etamojo ry\u0161io kilpas, siekiant pagerinti generuojam\u0173 i\u0161\u0117jim\u0173 kokyb\u0119 ir tikslum\u0105.<\/li>\n<\/ol>\n\n\n\n

    Generatyvaus dirbtinio intelekto taikymai realiame pasaulyje<\/strong><\/h4>\n\n\n\n

    Generatyvusis AI jau kelia bangas \u012fvairiuose sektoriuose:<\/p>\n\n\n\n

      \n
    • K\u016brybin\u0117s industrijos<\/strong>: Generative AI naudojamas kuriant muzik\u0105, kuriant grafik\u0105 ir net ra\u0161ant romanus.<\/li>\n\n\n\n
    • Sveikatos prie\u017ei\u016bra<\/strong>: padeda generuoti sintetinius medicininius duomenis tyrimams ir imituoti vaist\u0173 atradimo procesus.<\/li>\n\n\n\n
    • Klient\u0173 aptarnavimas<\/strong>: Pokalbi\u0173 robotai, kuriuos naudoja generuojantis AI, gerina klient\u0173 patirt\u012f, teikdami greitus ir tikslius atsakymus.<\/li>\n\n\n\n
    • I\u0161silavinimas<\/strong>: padeda kurti pritaikyt\u0105 mokymosi turin\u012f, viktorinas ir mokom\u0105j\u0105 med\u017eiag\u0105.<\/li>\n<\/ul>\n\n\n\n

      Etiniai svarstymai<\/strong><\/h4>\n\n\n\n

      Nors generatyvus AI yra \u012fdomus, jis taip pat turi i\u0161\u0161\u016bki\u0173. Reikia atid\u017eiai atkreipti d\u0117mes\u012f \u012f tokias problemas kaip mokymo duomen\u0173 \u0161ali\u0161kumas, klaidinga informacija ir autori\u0173 teisi\u0173 pa\u017eeidimai. Labai svarbu atsakingai ir eti\u0161kai naudoti generatyv\u0173j\u012f AI, u\u017etikrinant s\u0105\u017einingum\u0105, skaidrum\u0105 ir atskaitomyb\u0119.<\/p>\n\n\n\n

      Darbo su generuojan\u010diu AI prad\u017eia<\/strong><\/h4>\n\n\n\n

      \u0160tai keletas pradedantiesiems pritaikyt\u0173 \u012franki\u0173 ir i\u0161tekli\u0173, skirt\u0173 generatyviniam AI tyrin\u0117jimui:<\/p>\n\n\n\n

        \n
      • ChatGPT<\/strong>: eksperimentuokite kurdami tekst\u0105 el. lai\u0161kams, santraukoms ar k\u016brybiniam ra\u0161ymui.<\/li>\n\n\n\n
      • DALL\u00b7E<\/strong>: pabandykite sukurti unikalius vaizdus i\u0161 teksto apra\u0161ym\u0173.<\/li>\n\n\n\n
      • Kilimo ir t\u016bpimo takas ML<\/strong>: kurkite vaizdo \u012fra\u0161us ir vaizdus naudodami AI.<\/li>\n<\/ul>\n\n\n\n

        Generatyvusis dirbtinis intelektas yra daugiau nei tik madingas \u017eodis \u2013 tai galingas \u012frankis, kuris i\u0161liks. Kadangi mes ir toliau tyrin\u0117jame jos potencial\u0105, pagrindini\u0173 dalyk\u0173 supratimas yra pirmasis \u017eingsnis siekiant atverti galimybes. Nesvarbu, ar esate smalsus pradedantysis, ar siekiantis dirbtinio intelekto profesionalas, dabar pats tinkamiausias metas pasinerti ir su\u017einoti daugiau.<\/p>\n\n\n\n

        Sekite naujienas ir gaukite daugiau mokom\u0173j\u0173 i\u0161tekli\u0173 ir \u012f\u017evalg\u0173 apie generatyv\u0173j\u012f dirbtin\u012f intelekt\u0105 kaip GenAISA projekto dal\u012f!<\/em><\/p>","protected":false},"excerpt":{"rendered":"

        Generatyvusis AI greitai tapo viena labiausiai transformuojan\u010di\u0173 XXI am\u017eiaus technologij\u0173. Nuo tikrovi\u0161k\u0173 vaizd\u0173 ir vaizdo \u012fra\u0161\u0173 k\u016brimo iki sud\u0117tingo kodo ra\u0161ymo \u0161is dirbtinio intelekto pogrupis gali pakeisti pramon\u0117s \u0161akas ir kasdien\u012f gyvenim\u0105. Bet kas tiksliai yra generatyvusis AI ir kaip jis veikia? \u0160iame pradedan\u010di\u0173j\u0173 vadove mes\u2026<\/p>","protected":false},"author":1,"featured_media":2987,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[11],"tags":[],"class_list":["post-2986","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-educational-resources"],"acf":[],"taxonomy_info":{"category":[{"value":11,"label":"AI Educational Resources"}]},"featured_image_src_large":["https:\/\/genaisa.eu\/wp-content\/uploads\/2025\/01\/A-Beginners-Guide-to-Generative-AI-Understanding-the-Basics-1024x683.jpg",1024,683,true],"author_info":{"display_name":"Svetoslav Minchev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/admin_25h4lets\/"},"comment_info":6,"category_info":[{"term_id":11,"name":"AI Educational Resources","slug":"ai-educational-resources","term_group":0,"term_taxonomy_id":11,"taxonomy":"category","description":"Guides, tools, and materials developed within the project to support learning about generative AI and resilience skills.","parent":0,"count":3,"filter":"raw","cat_ID":11,"category_count":3,"category_description":"Guides, tools, and materials developed within the project to support learning about generative AI and resilience skills.","cat_name":"AI Educational Resources","category_nicename":"ai-educational-resources","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/2986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=2986"}],"version-history":[{"count":0,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/2986\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/2987"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=2986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=2986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=2986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}