{"id":13959,"date":"2025-03-02T03:00:14","date_gmt":"2025-03-02T00:00:14","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/"},"modified":"2025-03-02T03:00:14","modified_gmt":"2025-03-02T00:00:14","slug":"tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/","title":{"rendered":"Tablo Destekli \u00dcretkenlik: Yap\u0131land\u0131r\u0131lm\u0131\u015f Verilerle B\u00fcy\u00fck Dil Modellerini G\u00fc\u00e7lendirmek"},"content":{"rendered":"

<\/p>\n

Tablo Destekli \u00dcretkenlik: Yap\u0131land\u0131r\u0131lm\u0131\u015f Verilerle B\u00fcy\u00fck Dil Modellerini G\u00fc\u00e7lendirmek<\/p>\n

Son y\u0131llarda b\u00fcy\u00fck dil modelleri (LLM’ler), do\u011fal dil i\u015fleme alan\u0131nda \u00e7\u0131\u011f\u0131r a\u00e7t\u0131. Ancak, LLM’lerin ham veriden anlaml\u0131 \u00e7\u0131kar\u0131mlar yapma yetenekleri her zaman yeterli olmayabiliyor. Bu noktada, yap\u0131land\u0131r\u0131lm\u0131\u015f verilerin g\u00fcc\u00fcnden faydalanmak, LLM’lerin performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir. Bu makalede, tablo destekli \u00fcretkenlik kavram\u0131n\u0131 ele alarak, LLM’lere yap\u0131land\u0131r\u0131lm\u0131\u015f veriler eklemenin nas\u0131l daha do\u011fru, tutarl\u0131 ve ayr\u0131nt\u0131l\u0131 metin \u00fcretimini sa\u011flad\u0131\u011f\u0131n\u0131 inceleyece\u011fiz.<\/p>\n

Yap\u0131land\u0131r\u0131lm\u0131\u015f Verilerin \u00d6nemi<\/h2>\n

LLM’ler, metin verileri \u00fczerinde e\u011fitilmi\u015f olsa da, karma\u015f\u0131k ili\u015fkileri ve kal\u0131plar\u0131 anlamakta bazen zorlanabilirler. \u00d6rne\u011fin, bir \u00fcr\u00fcn katalo\u011fundan bilgi \u00e7\u0131karmak veya karma\u015f\u0131k istatistiksel verileri \u00f6zetlemek gibi durumlarda, yap\u0131land\u0131r\u0131lm\u0131\u015f verilerin kullan\u0131m\u0131 b\u00fcy\u00fck \u00f6nem ta\u015f\u0131r. Bu veriler, LLM’lere daha net bir \u00e7er\u00e7eve sunarak, daha kesin ve tutarl\u0131 sonu\u00e7lar elde edilmesini sa\u011flar. Sonu\u00e7 olarak, daha zengin ve ayr\u0131nt\u0131l\u0131 bir \u00e7\u0131kt\u0131 \u00fcretilir.<\/p>\n

Tablo Destekli \u00dcretkenlik Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n

Tablo destekli \u00fcretkenlik, LLM’lere tablolar, grafikler veya di\u011fer yap\u0131land\u0131r\u0131lm\u0131\u015f veri formatlar\u0131 gibi ek bilgiler sa\u011flamay\u0131 i\u00e7erir. Bu veriler, LLM’nin metin \u00fcretme s\u00fcrecinde do\u011frudan kullan\u0131l\u0131r. \u00d6rne\u011fin, bir \u00fcr\u00fcn\u00fcn \u00f6zelliklerini i\u00e7eren bir tablo, LLM’nin o \u00fcr\u00fcnle ilgili daha ayr\u0131nt\u0131l\u0131 ve do\u011fru bir a\u00e7\u0131klama \u00fcretmesini sa\u011flar. Ba\u015fka bir deyi\u015fle, LLM, metin \u00fcretimini zenginle\u015ftirmek i\u00e7in tablo verilerini referans alabilir.<\/p>\n

Bu s\u00fcre\u00e7te, LLM’nin verileri nas\u0131l yorumlayaca\u011f\u0131n\u0131 ve entegre edece\u011fini \u00f6\u011frenmesi i\u00e7in \u00e7e\u015fitli teknikler kullan\u0131l\u0131r. Bunlar aras\u0131nda, verilerin LLM’ye do\u011frudan girdi olarak beslenmesi, veya verilerin do\u011fal dil c\u00fcmlelerine d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcp LLM’ye sunulmas\u0131 gibi y\u00f6ntemler bulunur. Sonu\u00e7 olarak, LLM, sadece metin verilerine ba\u011fl\u0131 kalmaz, ayn\u0131 zamanda yap\u0131land\u0131r\u0131lm\u0131\u015f verilerden de yararlanarak daha kapsaml\u0131 bir \u00fcretkenli\u011fe ula\u015f\u0131r.<\/p>\n

Avantajlar ve Uygulamalar<\/h2>\n

Tablo destekli \u00fcretkenli\u011fin bir\u00e7ok avantaj\u0131 vard\u0131r. \u00d6ncelikle, \u00fcretilen metinlerin do\u011frulu\u011fu ve tutarl\u0131l\u0131\u011f\u0131 artar. \u0130kinci olarak, daha ayr\u0131nt\u0131l\u0131 ve kapsaml\u0131 bilgiler \u00fcretilir. \u00dc\u00e7\u00fcnc\u00fcs\u00fc, LLM’lerin karma\u015f\u0131k verileri anlamas\u0131n\u0131 ve i\u015fleyebilmesini kolayla\u015ft\u0131r\u0131r. Bu \u00f6zelliklerin sayesinde, farkl\u0131 alanlarda ba\u015far\u0131l\u0131 bir \u015fekilde kullan\u0131labilir.<\/p>\n

\u00d6rnek uygulamalar aras\u0131nda; rapor olu\u015fturma, \u00f6zetleme, \u00fcr\u00fcn a\u00e7\u0131klamalar\u0131 olu\u015fturma ve sorular\u0131 cevaplama yer al\u0131r. Ayr\u0131ca, e-ticaret sitelerinde \u00fcr\u00fcn kar\u015f\u0131la\u015ft\u0131rmalar\u0131 olu\u015fturmak veya finansal raporlar\u0131 analiz etmek gibi daha \u00f6zel uygulamalarda da kullan\u0131labilir. K\u0131sacas\u0131, tablo destekli \u00fcretkenlik, LLM’lerin geni\u015f bir yelpazede daha etkili bir \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flar.<\/p>\n

Sonu\u00e7<\/h2>\n

Tablo destekli \u00fcretkenlik, LLM’lerin yeteneklerini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131ran yenilik\u00e7i bir yakla\u015f\u0131md\u0131r. Yap\u0131land\u0131r\u0131lm\u0131\u015f verilerin entegrasyonu, daha do\u011fru, tutarl\u0131 ve kapsaml\u0131 metin \u00fcretimini m\u00fcmk\u00fcn k\u0131larak, LLM’lerin \u00e7e\u015fitli alanlarda daha verimli bir \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flar. Bu teknolojinin geli\u015fmeye devam etmesiyle birlikte, gelecekte daha da etkileyici uygulamalar g\u00f6rece\u011fimiz kesindir.<\/p>\n

Daha fazla bilgi i\u00e7in fatihsoysal.com<\/a> sitesini ziyaret edebilirsiniz.<\/p>\n

Faydal\u0131 bulabilece\u011finiz bir kaynak: Table Augmented Generation: Enhancing LLMs with Structured Data<\/a><\/p>\n

#Etiketler<\/h3>\n

#B\u00fcy\u00fckDilModelleri #LLM #Yap\u0131land\u0131r\u0131lm\u0131\u015fVeri #TabloDestekli\u00dcretkenlik #Do\u011falDil\u0130\u015fleme #YapayZeka #Makine\u00d6\u011frenmesi #VeriBilimi<\/p>\n

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Bu makalede, tablo destekli \u00fcretkenlik kavram\u0131n\u0131 ele alarak, LLM'lere yap\u0131land\u0131r\u0131lm\u0131\u015f veriler eklemenin nas\u0131l daha do\u011fru, tutarl\u0131 ve ayr\u0131nt\u0131l\u0131 metin \u00fcretimini sa\u011flad\u0131\u011f\u0131n\u0131 inceleyece\u011fiz.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-02T00:00:14+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Tablo Destekli \u00dcretkenlik: Yap\u0131land\u0131r\u0131lm\u0131\u015f Verilerle B\u00fcy\u00fck Dil Modellerini G\u00fc\u00e7lendirmek\",\"datePublished\":\"2025-03-02T00:00:14+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/\"},\"wordCount\":605,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/tablo-destekli-uretkenlik-yapilandirilmis-verilerle-buyuk-dil-modellerini-guclendirmek\/\",\"name\":\"Tablo Destekli \u00dcretkenlik: Yap\u0131land\u0131r\u0131lm\u0131\u015f Verilerle B\u00fcy\u00fck Dil Modellerini G\u00fc\u00e7lendirmek\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-03-02T00:00:14+00:00\",\"description\":\"Son y\u0131llarda b\u00fcy\u00fck dil modelleri (LLM'ler), do\u011fal dil i\u015fleme alan\u0131nda \u00e7\u0131\u011f\u0131r a\u00e7t\u0131. 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