{"id":3790,"date":"2025-06-02T16:54:26","date_gmt":"2025-06-02T13:54:26","guid":{"rendered":"https:\/\/genaisa.eu\/?p=3790"},"modified":"2025-06-02T16:54:26","modified_gmt":"2025-06-02T13:54:26","slug":"10-geriausiu-nemokamu-generatyvinio-dirbtinio-intelekto-ivaldymo-vadovu","status":"publish","type":"post","link":"https:\/\/genaisa.eu\/lt\/top-10-free-guides-to-mastering-generative-ai\/","title":{"rendered":"10 geriausi\u0173 nemokam\u0173 generatyvinio dirbtinio intelekto \u012fvaldymo vadov\u0173"},"content":{"rendered":"<p>Kra\u0161tovaizdis <strong>generatyvinis dirbtinis intelektas<\/strong> vystosi \u017eaibi\u0161ku grei\u010diu, o i\u0161likti priekyje rei\u0161kia tur\u0117ti prieig\u0105 prie <strong>prakti\u0161ki, auk\u0161tos kokyb\u0117s i\u0161tekliai<\/strong>Laimei, pirmaujan\u010dios dirbtinio intelekto organizacijos, tokios kaip <strong>\u201eGoogle\u201c<\/strong>, <strong>Atviras dirbtinis intelektas<\/strong>, ir <strong>Antropinis<\/strong> i\u0161leido daugyb\u0119 nemokam\u0173 vadov\u0173 ir informacini\u0173 dokument\u0173, apiman\u010di\u0173 visk\u0105 nuo <strong>greitas in\u017einerinis ir agent\u0173 projektavimas, skirtas diegimui \u012fmon\u0117je ir dirbtinio intelekto saugumui<\/strong>.<\/p>\n\n\n\n<p>Nesvarbu, ar esate pedagogas, kuriantis dirbtinio intelekto mokymo turin\u012f, ar specialistas, integruojantis dirbtin\u012f intelekt\u0105 \u012f darbo eigas, ar smalsus besimokantysis, tyrin\u0117jantis dideli\u0173 kalb\u0173 modeli\u0173 (LLM) potencial\u0105, \u0161ie de\u0161imt i\u0161tekli\u0173 si\u016blo <strong>ai\u0161kios, praktin\u0117s \u012f\u017evalgos<\/strong> ir yra laisvai prieinami internete.<\/p>\n\n\n\n<p>\u017demiau pateikiame m\u016bs\u0173 kuruojam\u0105 geriausi\u0173 naujausi\u0173 leidini\u0173 ap\u017evalg\u0105:<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. \u201eGoogle\u201c raginim\u0173 vadovas Dvyniams<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/services.google.com\/fh\/files\/misc\/gemini-for-google-workspace-prompting-guide-101.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u0160iame vadove pateikiamos praktin\u0117s strategijos, kaip para\u0161yti veiksmingas u\u017eduotis <strong>Dvyniai<\/strong>, \u201eGoogle\u201c LLM. Jame pateikiami patarimai, kaip:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Vaidmenimis pagr\u012fstas raginimas skirtingiems naudojimo atvejams (pvz., d\u0117stytojo, analitiko, redaktoriaus)<\/li>\n\n\n\n<li>Darbo erdv\u0117je integruotos raginim\u0173 strategijos (\u201eDokumentai\u201c, \u201eGmail\u201c, \u201eSkai\u010diuokl\u0117s\u201c)<\/li>\n\n\n\n<li>Ai\u0161k\u016bs ger\u0173 ir blog\u0173 raginim\u0173 pavyzd\u017eiai<br>Idealiai tinka pedagogams ir instruktoriams, norintiems pristatyti strukt\u016brizuotus raginimo metodus.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. Greita in\u017einerija LLM studentams<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/zncd.ir\/wp-content\/uploads\/2025\/01\/John-Berryman-Albert-Ziegler-Prompt-Engineering-for-LLMs_-The-Art-and-Science-of-Building-Large-Language-Model-Based-Applications-2024-OReilly-Media-libgen.li_.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u0160is i\u0161samus atvirojo kodo vadovas gilinasi \u012f:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u012eprastos raginim\u0173 strukt\u016bros ir formatai<\/li>\n\n\n\n<li>Realaus pasaulio LLM program\u0173 taikymo versle ir \u0161vietime atvejai<\/li>\n\n\n\n<li>Integracijos patarimai, skirti \u012frankiams ir platformoms<br>Puikiai tinka visiems, kurie kuria <strong>mokymosi med\u017eiaga arba program\u0117l\u0117s, paremtos teis\u0117s magistro (LLM) program\u0117l\u0117mis<\/strong>.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. \u201eOpenAI\u201c dirbtinis intelektas \u012fmon\u0117s vadove<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/cdn.openai.com\/business-guides-and-resources\/ai-in-the-enterprise.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>Strateginis \u0161altinis organizacijoms, svarstan\u010dioms dirbtinio intelekto diegim\u0105 \u012fmon\u0117s lygmeniu. Jame aptariama:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Laipsni\u0161ko diegimo planas<\/li>\n\n\n\n<li>Dirbtinio intelekto naudojimo atvej\u0173 projektavimas ir vertinimas<\/li>\n\n\n\n<li>Valdymo ir saugos praktika<br>Puikiai tinka instituciniams sprendim\u0173 pri\u0117m\u0117jams, skaitmenin\u0117s transformacijos vadovams ir politikos suinteresuotosioms \u0161alims.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>4. \u201eGoogle\u201c agent\u0173 pagalbin\u0117 informacin\u0117 knyga<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/www.kaggle.com\/whitepaper-agent-companion\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u0160iame informaciniame dokumente pateikiamas ai\u0161kus planas, kaip kurti ir vertinti <strong>Dirbtinio intelekto agentai<\/strong>, \u012fskaitant:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agent\u0173 architekt\u016brinis srautas<\/li>\n\n\n\n<li>Vertinimo metrikos ir s\u0117km\u0117s rodikliai<\/li>\n\n\n\n<li>Reali\u0173 diegim\u0173 atvej\u0173 analiz\u0117s<br>Naudinga k\u016br\u0117jams ir pa\u017eengusiems pedagogams, statantiems <strong>projektais pagr\u012fsti agent\u0173 mokymai<\/strong>.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>5. \u201eOpenAI\u201c agent\u0173 vadovas<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/cdn.openai.com\/business-guides-and-resources\/a-practical-guide-to-building-agents.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u201eOpenAI\u201c paai\u0161kina pagrindinius dalykus:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kaip veikia agentin\u0117s sistemos<\/li>\n\n\n\n<li>Naudojimo atvejai palaikymo, \u0161vietimo ir automatizavimo srityse<\/li>\n\n\n\n<li>Geriausia projektavimo ir diegimo praktika<br>Labai rekomenduojama d\u0117stytojams, studijuojantiems dirbtinio intelekto architekt\u016br\u0105 arba sistem\u0173 integracij\u0105.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>6. \u201eAnthropic\u201c Claude&#039;o agento sistema<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/www.anthropic.com\/engineering\/building-effective-agents\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>D\u0117mesys sutelktas \u012f <strong>Klodas<\/strong>, Antropologijos teis\u0117s magistro laipsnis, \u0161iame vadove pristatoma:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Agento sud\u0117tis ir iteracijos srautas<\/li>\n\n\n\n<li>Kuriamos daugkartinio naudojimo ir adaptyvios greit\u0173j\u0173 grand\u017ei\u0173 sistemos<\/li>\n\n\n\n<li>Saugi ir efektyvi atsako kontrol\u0117<br>Idealiai tinka tras\u0173 k\u016br\u0117jams, eksperimentuojantiems su <strong>raginim\u0173 srautai ir u\u017eduo\u010di\u0173 automatizavimas<\/strong>.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>7. \u201eAnthropic\u201c kodavimo geriausia praktika<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/www.anthropic.com\/engineering\/claude-code-best-practices\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>Techninis, bet b\u016btinas skaitinys, apimantis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dirbtinio intelekto pagalba atliekam\u0173 kodavimo darbo eig\u0173 strukt\u016brizavimas<\/li>\n\n\n\n<li>Vengti greitos injekcijos ir haliucinacij\u0173<\/li>\n\n\n\n<li>Ra\u0161ant ai\u0161kius, paai\u0161kinamus rezultatus<br>Geriausias vadovas, skirtas <strong>mokyti saugi\u0173, eti\u0161k\u0173 dirbtinio intelekto kodavimo standart\u0173<\/strong>.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>8. Daugiau nei 200 puslapi\u0173 dirbtinio intelekto ir teis\u0117s magistro (LLM) tyrim\u0173 knyga<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/arxiv.org\/abs\/2501.09223\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u0160iame i\u0161samiame \u0161altinyje pateikiamos pagrindin\u0117s ir pa\u017eangios \u017einios apie:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>LLM mechanika ir transformatori\u0173 modeliai<\/li>\n\n\n\n<li>Tikslus derinimas ir architekt\u016bra<\/li>\n\n\n\n<li>Tyrimais pagr\u012fstos \u012f\u017evalgos apie na\u0161um\u0105<br>Puiki informacin\u0117 med\u017eiaga tyr\u0117jams, pa\u017eengusiems besimokantiesiems ir mokymo program\u0173 k\u016br\u0117jams.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>9. Dirbtinio intelekto naudojimo atvej\u0173 mastelio keitimas<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/cdn.openai.com\/business-guides-and-resources\/ai-in-the-enterprise.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>\u0160i sistema padeda organizacijoms ir instruktoriams:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u012evertinkite ir nustatykite prioritetus dirbtinio intelekto naudojimo atvejams<\/li>\n\n\n\n<li>Supraskite pasirengim\u0105 diegti<\/li>\n\n\n\n<li>Numatykite rizikas ir apsaugos priemones<br>Idealiai tinka profesinio mokymo centrams ir auk\u0161tojo mokslo \u012fstaigoms, derinan\u010dioms dirbtinio intelekto modulius su <strong>rinkos ir \u012fmon\u0117s poreikiai<\/strong>.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>10. I\u0161skirtin\u0117 promptavimo meistri\u0161kumo klas\u0117<\/strong><\/h4>\n\n\n\n<p>\ud83d\udd17 <a href=\"https:\/\/zncd.ir\/wp-content\/uploads\/2025\/01\/John-Berryman-Albert-Ziegler-Prompt-Engineering-for-LLMs_-The-Art-and-Science-of-Building-Large-Language-Model-Based-Applications-2024-OReilly-Media-libgen.li_.pdf\" target=\"_blank\" rel=\"noopener\">Pasiekite \u010dia<\/a><br>Interaktyvus vadovas, apimantis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sistemos ir greitosios logikos projektavimas<\/li>\n\n\n\n<li>I\u0161samus diegimo procesas<\/li>\n\n\n\n<li>Daugiaagent\u0117s sistemos koordinavimas<br>Labai rekomenduojama <strong>specialistai, mokytojai ir pa\u017eeng\u0119 mokiniai<\/strong> norintis \u012fvaldyti promptavimo men\u0105.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Mokykis, integruok, dalinkis<\/strong><\/h4>\n\n\n\n<p>Kadangi generatyvinis dirbtinis intelektas tampa neatsiejama darbo ir \u0161vietimo dalimi, labai svarbu i\u0161likti informuotam ir tur\u0117ti \u012fg\u016bd\u017ei\u0173. \u0160ie de\u0161imt i\u0161tekli\u0173 si\u016blo ne tik <strong>pa\u017eangiausias gaires<\/strong>, bet taip pat atveria galimybes integruoti naujausi\u0105 praktik\u0105 \u012f \u201eGenAISA\u201c projekto misij\u0105 \u2013 teikti pa\u017eangiausius, eti\u0161kus ir prakti\u0161kus dirbtinio intelekto mokymus.<\/p>\n\n\n\n<p>Jei \u0161ie i\u0161tekliai jums naudingi ir nor\u0117tum\u0117te pasidalyti, kaip juos naudojate savo klas\u0117je, versle ar projekte, mielai i\u0161girsime j\u016bs\u0173 nuomon\u0119!<\/p>","protected":false},"excerpt":{"rendered":"<p>Generatyviojo dirbtinio intelekto (DI) aplinka kei\u010diasi \u017eaibi\u0161ku grei\u010diu, o norint i\u0161likti priekyje, reikia tur\u0117ti prieig\u0105 prie prakti\u0161k\u0173, auk\u0161tos kokyb\u0117s i\u0161tekli\u0173. Laimei, pirmaujan\u010dios DI organizacijos, tokios kaip \u201eGoogle\u201c, \u201eOpenAI\u201c ir \u201eAnthropic\u201c, i\u0161leido daugyb\u0119 nemokam\u0173 vadov\u0173 ir informacini\u0173 dokument\u0173, apiman\u010di\u0173 visk\u0105 \u2013 nuo greito in\u017einerijos ir agent\u0173 projektavimo iki diegimo \u012fmon\u0117se ir DI saugumo. Nesvarbu, ar j\u016bs\u2026<\/p>","protected":false},"author":2,"featured_media":3792,"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-3790","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\/06\/ChatGPT-Image-Jun-2-2025-04_52_26-PM.png",1024,1024,false],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/ntsolev\/"},"comment_info":0,"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\/3790","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\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=3790"}],"version-history":[{"count":0,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3790\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/3792"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=3790"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=3790"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=3790"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}