{"id":12501,"date":"2025-02-15T03:15:08","date_gmt":"2025-02-15T00:15:08","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/aws-helsinkide-bedrock-agents-uygulamali-atolye-calismasi\/"},"modified":"2025-02-15T03:15:08","modified_gmt":"2025-02-15T00:15:08","slug":"aws-helsinkide-bedrock-agents-uygulamali-atolye-calismasi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/aws-helsinkide-bedrock-agents-uygulamali-atolye-calismasi\/","title":{"rendered":"AWS Helsinki&#8217;de Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131"},"content":{"rendered":"<p>AWS Helsinki&#8217;de Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131<\/p>\n<p>Merhaba, Fatih Soysal burada! Ge\u00e7ti\u011fimiz g\u00fcnlerde, AWS Helsinki&#8217;de d\u00fczenlenen Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131na kat\u0131ld\u0131m ve deneyimlerimi sizlerle payla\u015fmak istiyorum.  Bu at\u00f6lye, Amazon&#8217;un yeni nesil b\u00fcy\u00fck dil modelleri (LLM) ve bunlar\u0131 kullanarak ajanlar olu\u015fturma konusunda olduk\u00e7a kapsaml\u0131 bir e\u011fitim sa\u011flad\u0131.  A\u00e7\u0131k\u00e7as\u0131, beklentilerimi fazlas\u0131yla kar\u015f\u0131lad\u0131.<\/p>\n<p>At\u00f6lye, teorik a\u00e7\u0131klamalar\u0131n yan\u0131 s\u0131ra bolca pratik i\u00e7erik de i\u00e7eriyordu.  \u00d6ncelikle, Bedrock&#8217;un mimarisi ve farkl\u0131 LLM se\u00e7enekleri ayr\u0131nt\u0131l\u0131 bir \u015fekilde anlat\u0131ld\u0131.  Ard\u0131ndan,  Amazon&#8217;un sundu\u011fu \u00e7e\u015fitli ara\u00e7lar\u0131 ve bunlar\u0131 nas\u0131l kullanaca\u011f\u0131m\u0131z\u0131 \u00f6\u011frendik.  \u00d6rne\u011fin,  Prompt Engineering konusunda olduk\u00e7a faydal\u0131 ipu\u00e7lar\u0131 payla\u015ft\u0131lar.  Bu, \u00f6zellikle b\u00fcy\u00fck dil modelleriyle etkile\u015fim kurarken olduk\u00e7a kritik bir konu.<\/p>\n<p>Elbette,  en heyecan verici k\u0131s\u0131m, kendi ajanlar\u0131m\u0131z\u0131 geli\u015ftirme f\u0131rsat\u0131yd\u0131.  Verilen \u00f6rnek senaryolar\u0131 kullanarak, \u00e7e\u015fitli g\u00f6revleri yerine getiren ajanlar tasarlad\u0131k.  Bu s\u00fcre\u00e7,  hem teknik becerilerimi geli\u015ftirmeme hem de LLM&#8217;lerin ger\u00e7ek d\u00fcnyadaki uygulamalar\u0131n\u0131 daha iyi anlamama yard\u0131mc\u0131 oldu.  \u00d6rne\u011fin, bir m\u00fc\u015fteri hizmetleri ajan\u0131 veya bir veri analizi ajan\u0131 geli\u015ftirmeyi denedik.  Sonu\u00e7lar olduk\u00e7a etkileyiciydi.<\/p>\n<p>At\u00f6lye \u00e7al\u0131\u015fmas\u0131nda kullan\u0131lan ara\u00e7lar aras\u0131nda Amazon SageMaker, Lambda ve di\u011fer AWS servisleri yer al\u0131yordu.  Bu servisleri nas\u0131l entegre edece\u011fimizi ve bir ajan\u0131n farkl\u0131 bile\u015fenlerini nas\u0131l birle\u015ftirece\u011fimizi \u00f6\u011frendik.  Bunun yan\u0131 s\u0131ra,  ajanlar\u0131n g\u00fcvenli\u011fi ve etik hususlar\u0131 da ele al\u0131nd\u0131.  Bu konular\u0131n \u00f6nemi vurgulanarak, sorumlu bir \u015fekilde LLM geli\u015ftirmenin yollar\u0131 g\u00f6sterildi.  Bu,  b\u00fcy\u00fck dil modellerinin kullan\u0131m\u0131nda kar\u015f\u0131la\u015f\u0131labilecek etik sorunlara kar\u015f\u0131 fark\u0131ndal\u0131\u011f\u0131m\u0131z\u0131 art\u0131rd\u0131.<\/p>\n<p>\u00d6zellikle,  ajanlar\u0131n geli\u015ftirilmesi ve test edilmesi s\u00fcrecinin ne kadar iteratif oldu\u011funu g\u00f6rd\u00fcm.  S\u00fcrekli olarak iyile\u015ftirme ve ince ayar yaparak, daha iyi performans elde ettik.  Bu s\u00fcre\u00e7te,  hata ay\u0131klama ve sorun giderme becerilerimi geli\u015ftirme f\u0131rsat\u0131 buldum.  Ayr\u0131ca,  di\u011fer kat\u0131l\u0131mc\u0131larla deneyimlerimizi payla\u015farak ve  birbirimizden \u00f6\u011frenerek de \u00e7ok \u015fey kazand\u0131m. Bu payla\u015f\u0131m ortam\u0131,  at\u00f6lyenin en de\u011ferli yanlar\u0131ndan biriydi.<\/p>\n<p>Sonu\u00e7 olarak, AWS Helsinki&#8217;deki Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131,  LLM&#8217;ler ve ajan geli\u015ftirme konusunda \u00e7ok de\u011ferli bilgiler edindi\u011fim, pratik deneyim kazand\u0131\u011f\u0131m ve sekt\u00f6rdeki di\u011fer uzmanlarla a\u011f kurdu\u011fum harika bir f\u0131rsatt\u0131.  Bu deneyimi herkese \u015fiddetle tavsiye ederim.  Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> adresini ziyaret edebilirsiniz.  Ayr\u0131ca,  konu ile ilgili daha detayl\u0131 bilgi i\u00e7in  <a href=\"https:\/\/dev.to\/vijaykodam\/attended-bedrock-agents-hands-on-workshop-in-aws-helsinki-43hb\">buraya<\/a>  bakabilirsiniz.<\/p>\n<p><strong>#Etiketler:<\/strong> AWS, Bedrock, B\u00fcy\u00fck Dil Modelleri (LLM), Ajan Geli\u015ftirme,  Uygulamal\u0131 At\u00f6lye, Helsinki, Amazon SageMaker, Lambda,  Yapay Zeka,  Makine \u00d6\u011frenmesi,  Fatih Soysal,  Prompt Engineering<\/p>\n","protected":false},"excerpt":{"rendered":"AWS Helsinki&#8217;de Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131 Merhaba, Fatih Soysal burada! Ge\u00e7ti\u011fimiz g\u00fcnlerde, AWS Helsinki&#8217;de d\u00fczenlenen Bedrock Agents&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-12501","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AWS Helsinki&#039;de Bedrock Agents Uygulamal\u0131 At\u00f6lye \u00c7al\u0131\u015fmas\u0131<\/title>\n<meta name=\"description\" content=\"Merhaba, Fatih Soysal burada! 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Bu at\u00f6lye, Amazon&#039;un yeni nesil b\u00fcy\u00fck dil modelleri (LLM) ve bunlar\u0131 kullanarak ajanlar olu\u015fturma konusunda olduk\u00e7a kapsaml\u0131 bir e\u011fitim sa\u011flad\u0131. 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