{"id":11909,"date":"2026-05-15T04:38:29","date_gmt":"2026-05-15T04:38:29","guid":{"rendered":"https:\/\/virconlegal.com\/term\/prompt-muhendisligi\/"},"modified":"2026-05-15T05:10:45","modified_gmt":"2026-05-15T05:10:45","slug":"prompt-muhendisligi","status":"publish","type":"term","link":"https:\/\/virconlegal.com\/tr\/term\/prompt-muhendisligi\/","title":{"rendered":"Prompt M\u00fchendisli\u011fi"},"content":{"rendered":"

TLDR:<\/h3>\n

Prompt m\u00fchendisli\u011fi, LLM’lere<\/a> ve di\u011fer \u00fcretken yapay zeka<\/a> sistemlerine do\u011fru, yararl\u0131 ve tutarl\u0131 \u00e7\u0131kt\u0131lar elde etmek \u00fczere girdi tasarlama prati\u011fidir. Model davran\u0131\u015f\u0131yla deneysel deneme, yap\u0131land\u0131r\u0131lm\u0131\u015f girdi tasar\u0131m\u0131 ve giderek artan bi\u00e7imde otomatik optimizasyonu birle\u015ftirir.<\/p>\n

Temel Teknikler<\/h3>\n

Temel teknikler \u015funlard\u0131r: s\u0131f\u0131r at\u0131\u015f (zero-shot) prompt’lama (modelden \u00f6rnek olmadan g\u00f6rev yapmas\u0131n\u0131 isteme), birka\u00e7 at\u0131\u015f (few-shot) prompt’lama (2-5 i\u015flenmi\u015f \u00f6rnek sa\u011flama), d\u00fc\u015f\u00fcnce zinciri (chain-of-thought) prompt’lama (modelden ak\u0131l y\u00fcr\u00fctmesini g\u00f6stermesini isteme), rol tabanl\u0131 prompt’lama (“Sen k\u0131demli bir kurumsal avukats\u0131n…”), yap\u0131land\u0131r\u0131lm\u0131\u015f \u00e7\u0131kt\u0131 (JSON veya \u015femaya uygun yan\u0131tlar isteme) ve sistem prompt’lar\u0131 (modelin rol\u00fc hakk\u0131nda kal\u0131c\u0131 ba\u011flam sa\u011flama). Bu teknikleri birle\u015ftirmek tipik olarak basit sorgulardan \u00f6nemli \u00f6l\u00e7\u00fcde daha iyi \u00e7\u0131kt\u0131lar \u00fcretir.<\/p>\n

Geli\u015fmi\u015f Kal\u0131plar<\/h3>\n

\u00dcretim yapay zeka sistemleri geli\u015fmi\u015f kal\u0131plar kullan\u0131r: \u00e7ok turlu iyile\u015ftirme (geri bildirimle yinelemeli prompt’lama), \u00f6z tutarl\u0131l\u0131k (birden \u00e7ok \u00e7\u0131kt\u0131 \u00f6rnekleme ve en yayg\u0131n\u0131 se\u00e7me), d\u00fc\u015f\u00fcnce a\u011fac\u0131 (birden \u00e7ok ak\u0131l y\u00fcr\u00fctme yolunu ke\u015ffetme) ve anayasal yapay zeka (modelin kendi \u00e7\u0131kt\u0131lar\u0131n\u0131 ilkelere kar\u015f\u0131 ele\u015ftirmesi ve iyile\u015ftirmesi). DSPy gibi \u00e7er\u00e7eveler, prompt’lar\u0131 derlenebilir ve test edilebilir yaz\u0131l\u0131m eserleri olarak ele alan programatik prompt optimizasyonunu m\u00fcmk\u00fcn k\u0131lar.<\/p>\n

Bir Disiplin Olarak Prompt M\u00fchendisli\u011fi<\/h3>\n

Prompt m\u00fchendisli\u011fi, UX<\/a> tasar\u0131m\u0131, yaz\u0131l\u0131m m\u00fchendisli\u011fi ve ML \u00f6\u011felerini birle\u015ftiren ayr\u0131 bir disiplin olarak ortaya \u00e7\u0131km\u0131\u015ft\u0131r. \u00dcretim ekipleri giderek artan bi\u00e7imde s\u00fcr\u00fcm kontrol\u00fc ile prompt k\u00fct\u00fcphaneleri s\u00fcrd\u00fcr\u00fcr, prompt’lar\u0131 kalite metriklerine kar\u015f\u0131 A\/B test eder, modeller g\u00fcncellendik\u00e7e prompt gerilemesi i\u00e7in izler ve prompt’lar\u0131 \u00fcr\u00fcn spesifikasyonunun par\u00e7as\u0131 olarak belgeler.<\/p>\n","protected":false},"excerpt":{"rendered":"

TLDR: Prompt m\u00fchendisli\u011fi, LLM’lere ve di\u011fer \u00fcretken yapay zeka sistemlerine do\u011fru, yararl\u0131 ve tutarl\u0131 \u00e7\u0131kt\u0131lar elde etmek \u00fczere girdi tasarlama prati\u011fidir. Model davran\u0131\u015f\u0131yla deneysel deneme, yap\u0131land\u0131r\u0131lm\u0131\u015f girdi tasar\u0131m\u0131 ve giderek artan bi\u00e7imde otomatik optimizasyonu birle\u015ftirir. Temel Teknikler Temel teknikler \u015funlard\u0131r: s\u0131f\u0131r at\u0131\u015f (zero-shot) prompt’lama (modelden \u00f6rnek olmadan g\u00f6rev yapmas\u0131n\u0131 isteme), birka\u00e7 at\u0131\u015f (few-shot) prompt’lama (2-5 […]<\/p>\n","protected":false},"author":4,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"footnotes":""},"categories":[],"class_list":["post-11909","term","type-term","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11909","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term"}],"about":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/types\/term"}],"author":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/comments?post=11909"}],"version-history":[{"count":1,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11909\/revisions"}],"predecessor-version":[{"id":12320,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/term\/11909\/revisions\/12320"}],"wp:attachment":[{"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/media?parent=11909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/virconlegal.com\/tr\/wp-json\/wp\/v2\/categories?post=11909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}