{"id":3074,"date":"2024-11-05T22:00:13","date_gmt":"2024-11-05T19:00:13","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/2024te-ai-gelistiricileri-icin-en-iyi-7-arac\/"},"modified":"2024-11-05T22:00:13","modified_gmt":"2024-11-05T19:00:13","slug":"2024te-ai-gelistiricileri-icin-en-iyi-7-arac","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/2024te-ai-gelistiricileri-icin-en-iyi-7-arac\/","title":{"rendered":"2024’te AI Geli\u015ftiricileri \u0130\u00e7in En \u0130yi 7 Ara\u00e7"},"content":{"rendered":"

2024’te AI Geli\u015ftiricileri \u0130\u00e7in En \u0130yi 7 Ara\u00e7<\/p>\n

Yapay zek\u00e2 (YZ) h\u0131zla geli\u015fiyor ve hayat\u0131m\u0131z\u0131n her alan\u0131na n\u00fcfuz ediyor. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn merkezinde YZ geli\u015ftiricileri bulunuyor ve onlar\u0131n i\u015flerini kolayla\u015ft\u0131rmak i\u00e7in s\u00fcrekli yeni ara\u00e7lar ortaya \u00e7\u0131k\u0131yor. Bu makalede, 2024’te AI geli\u015ftiricileri i\u00e7in en iyi 7 arac\u0131 inceleyece\u011fiz.<\/p>\n

1. Google AI Platform<\/h2>\n

Google AI Platform, YZ modellerini e\u011fitmek, da\u011f\u0131tmak ve y\u00f6netmek i\u00e7in kapsaml\u0131 bir bulut tabanl\u0131 platformdur. Bu platform, Google’\u0131n kendi YZ ara\u015ft\u0131rmalar\u0131na ve uzmanl\u0131\u011f\u0131na dayanarak, geli\u015ftiricilere geli\u015fmi\u015f \u00f6zellikler sunar. Google AI Platform, TensorFlow, PyTorch gibi pop\u00fcler YZ \u00e7er\u00e7evelerini destekler ve ayr\u0131ca \u00f6nceden e\u011fitilmi\u015f modelleri sa\u011flar. Bu platformun avantajlar\u0131 aras\u0131nda \u00f6l\u00e7eklenebilirlik, g\u00fcvenilirlik ve \u00e7e\u015fitli API’ler yer almaktad\u0131r.<\/p>\n

2. Amazon SageMaker<\/h2>\n

Amazon SageMaker, Amazon Web Services (AWS) taraf\u0131ndan sunulan, YZ modellerini olu\u015fturmak, e\u011fitmek, da\u011f\u0131tmak ve y\u00f6netmek i\u00e7in tam entegre bir hizmettir. SageMaker, YZ geli\u015ftiricilerine h\u0131zl\u0131 ve kolay bir \u015fekilde geli\u015ftirme deneyimi sunar. Kullan\u0131c\u0131 aray\u00fcz\u00fcyle veya programatik olarak kullan\u0131labilen SageMaker, farkl\u0131 YZ i\u015f ak\u0131\u015flar\u0131n\u0131 destekler ve \u00f6nceden e\u011fitilmi\u015f modeller de sunar.<\/p>\n

3. Microsoft Azure Machine Learning<\/h2>\n

Microsoft Azure Machine Learning, Azure’nin YZ geli\u015ftirme platformudur. Bu platform, YZ modelleri olu\u015fturmak, da\u011f\u0131tmak ve y\u00f6netmek i\u00e7in \u00e7e\u015fitli ara\u00e7lar ve hizmetler sunar. Azure Machine Learning, Python, R ve di\u011fer dilleri destekler ve \u00f6nceden e\u011fitilmi\u015f modellerle birlikte gelir. Kullan\u0131c\u0131 aray\u00fcz\u00fc ve API’leri sayesinde, YZ geli\u015ftiricileri farkl\u0131 \u00f6l\u00e7eklerde projelerde bu platformu kullanabilirler.<\/p>\n

4. TensorFlow<\/h2>\n

Google taraf\u0131ndan geli\u015ftirilen TensorFlow, a\u00e7\u0131k kaynak kodlu bir YZ k\u00fct\u00fcphanesidir. TensorFlow, derin \u00f6\u011frenme modellerini olu\u015fturmak ve e\u011fitmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. Bu k\u00fct\u00fcphane, geni\u015f bir \u00f6zelli\u011fe sahip olup, \u00e7e\u015fitli YZ uygulamalar\u0131nda kullan\u0131labilir. TensorFlow, mobil cihazlardan bulut platformlar\u0131na kadar farkl\u0131 ortamlarda \u00e7al\u0131\u015fabilir.<\/p>\n

5. PyTorch<\/h2>\n

Facebook taraf\u0131ndan geli\u015ftirilen PyTorch, a\u00e7\u0131k kaynak kodlu bir YZ k\u00fct\u00fcphanesidir. PyTorch, derin \u00f6\u011frenme modellerini olu\u015fturmak ve e\u011fitmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. PyTorch, TensorFlow’a benzer \u015fekilde, esnekli\u011fi ve kolay kullan\u0131m\u0131 ile dikkat \u00e7ekmektedir. PyTorch, ara\u015ft\u0131rma ve end\u00fcstriyel uygulamalarda yayg\u0131n olarak kullan\u0131l\u0131r.<\/p>\n

6. Hugging Face Transformers<\/h2>\n

Hugging Face Transformers, \u00f6nceden e\u011fitilmi\u015f b\u00fcy\u00fck dil modellerini (LLM) ve di\u011fer derin \u00f6\u011frenme modellerini kullanmak ve e\u011fitmek i\u00e7in bir k\u00fct\u00fcphanedir. Bu k\u00fct\u00fcphane, \u00e7e\u015fitli LLM’leri tek bir aray\u00fczde sunarak, YZ geli\u015ftiricilerine farkl\u0131 modellerle \u00e7al\u0131\u015fma kolayl\u0131\u011f\u0131 sa\u011flar. Hugging Face Transformers, NLP g\u00f6revleri i\u00e7in m\u00fckemmel bir \u00e7\u00f6z\u00fcmd\u00fcr ve s\u00fcrekli olarak yeni modelleri eklemektedir.<\/p>\n

7. Weights & Biases<\/h2>\n

Weights & Biases, YZ deneylerini izlemek ve y\u00f6netmek i\u00e7in bir platformdur. Bu platform, YZ geli\u015ftiricilerinin modellerinin performans\u0131n\u0131 takip etmelerine, hiperparametreleri ayarlamalar\u0131na ve deney sonu\u00e7lar\u0131n\u0131 analiz etmelerine yard\u0131mc\u0131 olur. Weights & Biases, \u00e7e\u015fitli ara\u00e7larla entegre olur ve i\u015f birli\u011fi \u00f6zelli\u011fi sunar.<\/p>\n

Sonu\u00e7<\/h2>\n

YZ h\u0131zla geli\u015fmeye devam ederken, bu ara\u00e7lar geli\u015ftiricilere b\u00fcy\u00fck bir avantaj sa\u011flayacakt\u0131r. Bu ara\u00e7lar, YZ modellerini olu\u015fturmak, e\u011fitmek, da\u011f\u0131tmak ve y\u00f6netmek i\u00e7in gerekli olan ara\u00e7lar\u0131 ve kaynaklar\u0131 sunar. AI geli\u015ftiricilerinin bu ara\u00e7lar\u0131 kullanarak, daha yenilik\u00e7i ve etkili YZ uygulamalar\u0131 yaratabilecekleri d\u00fc\u015f\u00fcn\u00fclmektedir. Bu makalede bahsedilen ara\u00e7lar\u0131n yan\u0131 s\u0131ra, YZ alan\u0131nda s\u00fcrekli olarak yeni ara\u00e7lar ortaya \u00e7\u0131kmaktad\u0131r. Bu ara\u00e7lar\u0131 takip etmek, YZ geli\u015ftiricilerinin yenilik\u00e7i kalmalar\u0131 ve daha iyi sonu\u00e7lar elde etmeleri i\u00e7in \u00f6nemlidir.<\/p>\n

Bu ara\u00e7lar\u0131n kullan\u0131m\u0131yla ilgili daha detayl\u0131 bilgi i\u00e7in fatihsoysal.com<\/a> web sitesini ziyaret edebilirsiniz.<\/p>\n

#Etiketler: AI, YZ, Geli\u015ftirici, Ara\u00e7lar, Platform, Google AI Platform, Amazon SageMaker, Microsoft Azure Machine Learning, TensorFlow, PyTorch, Hugging Face Transformers, Weights & Biases, Deep Learning, B\u00fcy\u00fck Dil Modelleri, LLM, NLP<\/p>\n","protected":false},"excerpt":{"rendered":"2024’te AI Geli\u015ftiricileri \u0130\u00e7in En \u0130yi 7 Ara\u00e7 Yapay zek\u00e2 (YZ) h\u0131zla geli\u015fiyor ve hayat\u0131m\u0131z\u0131n her alan\u0131na n\u00fcfuz…","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-3074","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\n2024'te AI Geli\u015ftiricileri \u0130\u00e7in En \u0130yi 7 Ara\u00e7<\/title>\n<meta name=\"description\" content=\"Yapay zek\u00e2 (YZ) h\u0131zla geli\u015fiyor ve hayat\u0131m\u0131z\u0131n her alan\u0131na n\u00fcfuz ediyor. Bu d\u00f6n\u00fc\u015f\u00fcm\u00fcn merkezinde YZ geli\u015ftiricileri bulunuyor ve onlar\u0131n i\u015flerini kolayla\u015ft\u0131rmak i\u00e7in s\u00fcrekli yeni ara\u00e7lar ortaya \u00e7\u0131k\u0131yor. Bu makalede, 2024'te AI geli\u015ftiricileri i\u00e7in en iyi 7 arac\u0131 inceleyece\u011fiz.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/2024te-ai-gelistiricileri-icin-en-iyi-7-arac\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"2024'te AI Geli\u015ftiricileri \u0130\u00e7in En \u0130yi 7 Ara\u00e7\" \/>\n<meta property=\"og:description\" content=\"Yapay zek\u00e2 (YZ) h\u0131zla geli\u015fiyor ve hayat\u0131m\u0131z\u0131n her alan\u0131na n\u00fcfuz ediyor. 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