{"id":89991,"date":"2024-05-14T10:59:34","date_gmt":"2024-05-14T10:59:34","guid":{"rendered":"https:\/\/www.globallogic.com\/sk\/?post_type=insightsection&p=89991"},"modified":"2025-03-08T17:00:08","modified_gmt":"2025-03-08T17:00:08","slug":"prompt-engineering-pre-generativnu-ai-dostal-svoju-definiciu","status":"publish","type":"insightsection","link":"https:\/\/www.globallogic.com\/sk\/insights\/blogs\/prompt-engineering-pre-generativnu-ai-dostal-svoju-definiciu\/","title":{"rendered":"Prompt Engineering pre generat\u00edvnu AI dostal svoju defin\u00edciu"},"content":{"rendered":"\n
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V\u00a0s\u00favislosti s interakciami s\u00a0ChatGPT, New Bing, Google Bard a\u00a0in\u00fdmi rozhraniami pre ve\u013ek\u00e9 jazykov\u00e9 modely (LLM) vyvstalo za ostatn\u00fdch p\u00e4\u0165 rokov mnoho nejasnost\u00ed nielen v\u00a0oblasti komunika\u010dn\u00e9ho dizajnu<\/strong> (\u201eConversation Design\u201c<\/strong>), ale aj v\u00a0pr\u00edpade tzv. \u201ePrompt Engineering-u\u201c.<\/p>\n\n\n\n Toto je jasne diskutovan\u00e9 v \u010dl\u00e1nku z Harvard Business Review s n\u00e1zvom \u201eAI Prompt Engineering Is’t the Future\u201c.<\/a><\/font><\/font><\/p>\n\n\n\n <\/p>\n\n\n\n Prompt engineering, to nie je len jednduch\u00e9 radenie slov za sebou \u2013 u\u017e len preto, \u017ee slov\u00e1 sa vyberaj\u00fa pod\u013ea zam\u00fd\u0161\u013ean\u00e9ho v\u00fdznamu \u010di cie\u013eov. V lingvistike a po\u010d\u00edta\u010dovej lingvistike <\/strong>nejde len o syntax<\/em> (alebo poradie slov), ale aj o s\u00e9mantiku<\/em> (v\u00fdznamov\u00fa rovinu), pragmatiku <\/em>(z\u00e1mer, predpoklady, ciele \u010di kontext), sociolingvistiku <\/em>(profil recipienta) \u010di dokonca psycholingvistiku <\/em>(vz\u0165ah autor-prij\u00edmate\u013e).<\/p>\n\n\n\n Plne s\u00fahlas\u00edm s autorom v tom, \u017ee je potrebn\u00e9 identifikova\u0165, definova\u0165, vymedzi\u0165, rozdeli\u0165, preformulova\u0165 a n\u00e1sledne obmedzi\u0165 probl\u00e9m a ciele. Probl\u00e9m v\u0161ak nemo\u017eno jasne definova\u0165, vymedzi\u0165 \u010di sformulova\u0165 bez pou\u017eitia jazyka alebo mimo jazyka (n\u00e1\u0161 jazyk definuje svet, v ktorom \u017eijeme, pri\u010dom viacjazy\u010dn\u00ed \u013eudia s\u00fa najotvorenej\u0161\u00ed zo v\u0161etk\u00fdch \u2013 napokon, skvelo to dokazuj\u00fa na\u0161i kolegovia v GlobalLogic). Prompt engineering<\/a> rob\u00ed presne to, \u017ee nach\u00e1dza sp\u00f4sob, ako definova\u0165 probl\u00e9m v najmen\u0161om mo\u017enom po\u010dte krokov: efekt\u00edvne, \u00fa\u010dinne, d\u00f4sledne, predv\u00eddate\u013ene a opakovane pou\u017eite\u013en\u00fdm\/reprodukovate\u013en\u00fdm sp\u00f4sobom.<\/p>\n\n\n\n Pr\u00e1ve preto sa prompt engineering sp\u00e1ja aj s mapovan\u00edm dom\u00e9novej ontol\u00f3gie, teda s vymedzen\u00edm probl\u00e9movej oblasti s\u00e9mantick\u00fdmi a \u010dasto aj vizu\u00e1lnymi sp\u00f4sobmi.<\/p>\n\n\n\n Bez v\u00fdznamu neexistuje \u201elingvistika\u201c. To, \u010do autor (ako nelingvista) pova\u017euje za dve oddelen\u00e9 veci, je v skuto\u010dnosti jedno a to ist\u00e9.<\/p>\n\n\n\n Preto si mysl\u00edm, \u017ee (u\u017e 40 rokov) tradi\u010dn\u00fd term\u00edn \u201elanguage engineering<\/strong>\u201c (jazykov\u00e9 in\u017einierstvo) je vhodnej\u0161ou a trvalej\u0161ou alternat\u00edvou a s najv\u00e4\u010d\u0161ou pravdepodobnos\u0165ou pre\u017eije m\u0148a aj autora p\u00f4vodn\u00e9ho \u010dl\u00e1nku v Harward Business Report!<\/p>\n\n\n\n <\/p>\n\n\n\n Pre\u010d\u00edtajte si viac:<\/p>\n\n\n\n Prompt engineering v AI rob\u00ed to, \u017ee nach\u00e1dza sp\u00f4sob, ako definova\u0165 probl\u00e9m v najmen\u0161om mo\u017enom po\u010dte krokov: efekt\u00edvne, \u00fa\u010dinne, d\u00f4sledne, predv\u00eddate\u013ene a opakovane pou\u017eite\u013en\u00fdm\/reprodukovate\u013en\u00fdm sp\u00f4sobom.<\/p>\n","protected":false},"author":36,"featured_media":100502,"parent":0,"menu_order":0,"template":"","insight":[41],"insight-subcats":[809,808],"insight-industry":[750],"insight-services":[],"insight-partners":[],"class_list":["post-89991","insightsection","type-insightsection","status-publish","has-post-thumbnail","hentry","insight-blogs","insight-subcats-ai-governance","insight-subcats-mlops","insight-industry-technology"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insightsection\/89991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insightsection"}],"about":[{"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/types\/insightsection"}],"author":[{"embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/users\/36"}],"version-history":[{"count":3,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insightsection\/89991\/revisions"}],"predecessor-version":[{"id":102425,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insightsection\/89991\/revisions\/102425"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/media\/100502"}],"wp:attachment":[{"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/media?parent=89991"}],"wp:term":[{"taxonomy":"insight","embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insight?post=89991"},{"taxonomy":"insight-subcats","embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insight-subcats?post=89991"},{"taxonomy":"insight-industry","embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insight-industry?post=89991"},{"taxonomy":"insight-services","embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insight-services?post=89991"},{"taxonomy":"insight-partners","embeddable":true,"href":"https:\/\/www.globallogic.com\/sk\/wp-json\/wp\/v2\/insight-partners?post=89991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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