{"id":210,"date":"2025-03-27T09:49:39","date_gmt":"2025-03-27T06:49:39","guid":{"rendered":"https:\/\/neku.ai\/?p=210"},"modified":"2025-03-24T09:53:20","modified_gmt":"2025-03-24T06:53:20","slug":"llm-large-language-models-nedir-gpt-llama-claude-ve-daha-fazlasi","status":"publish","type":"post","link":"https:\/\/neku.ai\/en\/llm-large-language-models-nedir-gpt-llama-claude-ve-daha-fazlasi\/","title":{"rendered":"LLM (Large Language Models) Nedir? GPT, Llama, Claude ve Daha Fazlas\u0131"},"content":{"rendered":"

Yapay zeka sistemleri art\u0131k yaln\u0131zca g\u00f6revleri yerine getirmekle kalm\u0131yor, ayn\u0131 zamanda insan dilini anlamak, yorumlamak ve \u00fcretmek konusunda da etkileyici beceriler sergiliyor. Bu ba\u015far\u0131n\u0131n arkas\u0131ndaki anahtar teknoloji ise: B\u00fcy\u00fck Dil Modelleri<\/strong> \u2014 ya da \u0130ngilizce ad\u0131yla LLM (Large Language Models).<\/strong><\/p>\n\n\n\n

📌 LLM Nedir?<\/h2>\n\n\n\n

LLM’ler<\/strong>, devasa veri k\u00fcmeleri \u00fczerinde e\u011fitilmi\u015f yapay zeka modelleridir. Metin \u00fcretimi, \u00e7eviri, \u00f6zetleme, soru-cevap sistemleri ve hatta kod yaz\u0131m\u0131 gibi \u00e7ok say\u0131da do\u011fal dil i\u015fleme (NLP)<\/strong> g\u00f6revinde kullan\u0131l\u0131rlar. Bu modeller, transformer mimarisi<\/strong> \u00fczerine kuruludur ve s\u00f6zc\u00fckler aras\u0131 ba\u011flam\u0131 anlayarak, tutarl\u0131 ve ba\u011flamsal yan\u0131tlar \u00fcretir.<\/p>\n\n\n\n

\n\n\n\n

🚀 \u00d6nde Gelen LLM’ler<\/h2>\n\n\n\n

Gelin, g\u00fcn\u00fcm\u00fcz\u00fcn en pop\u00fcler b\u00fcy\u00fck dil modellerine yak\u0131ndan bakal\u0131m:<\/p>\n\n\n\n

🤖 GPT (Generative Pre-trained Transformer) \u2013 OpenAI<\/em><\/h3>\n\n\n\n
    \n
  • Ba\u015flang\u0131\u00e7 y\u0131l\u0131:<\/strong> 2018<\/li>\n\n\n\n
  • Son s\u00fcr\u00fcm:<\/strong> GPT-4 (Mart 2023)<\/li>\n\n\n\n
  • Tahmini parametre say\u0131s\u0131:<\/strong> Trilyonlarca<\/li>\n\n\n\n
  • Kullan\u0131m alan\u0131:<\/strong> ChatGPT, Copilot, i\u00e7erik \u00fcretimi, sohbet robotlar\u0131<\/li>\n\n\n\n
  • Not:<\/strong> OpenAI, model detaylar\u0131n\u0131 a\u00e7\u0131klam\u0131yor. Rekabet ve g\u00fcvenlik endi\u015feleri nedeniyle GPT-4’\u00fcn teknik bilgileri belirsizli\u011fini koruyor.<\/li>\n<\/ul>\n\n\n\n
    \n\n\n\n

    🦙 Llama \u2013 Meta AI<\/em><\/h3>\n\n\n\n
      \n
    • Llama 3.1 (2024):<\/strong> 405 milyar parametre<\/li>\n\n\n\n
    • A\u00e7\u0131k kaynakl\u0131<\/strong>: Akademik ve ticari kullan\u0131ma uygun<\/li>\n\n\n\n
    • \u00c7ok dilli destek<\/strong><\/li>\n\n\n\n
    • Avantaj\u0131:<\/strong> Geli\u015ftiriciler ve ara\u015ft\u0131rmac\u0131lar i\u00e7in eri\u015filebilir olmas\u0131<\/li>\n<\/ul>\n\n\n\n
      \n\n\n\n

      🧠 Claude \u2013 Anthropic<\/em><\/h3>\n\n\n\n
        \n
      • Odak noktas\u0131:<\/strong> Etik, g\u00fcvenli ve insan odakl\u0131 yan\u0131tlar<\/li>\n\n\n\n
      • Claude 3 (2024):<\/strong> Haiku, Sonnet ve Opus alt modelleri<\/li>\n\n\n\n
      • Parametre say\u0131s\u0131:<\/strong> A\u00e7\u0131klanmad\u0131 (tahmini ~500 milyar)<\/li>\n\n\n\n
      • \u00d6zellik:<\/strong> 200.000 token ba\u011flam penceresi ile uzun metinleri i\u015fleyebilir<\/li>\n\n\n\n
      • Anayasal Yapay Zeka:<\/strong> Etik kurallar g\u00f6zetilerek e\u011fitiliyor<\/li>\n<\/ul>\n\n\n\n
        \n\n\n\n

        📚 Di\u011fer \u00d6nemli LLM\u2019ler<\/h2>\n\n\n\n
        Model<\/th>Geli\u015ftirici<\/th>Parametre Say\u0131s\u0131<\/th>\u00d6zellik<\/th><\/tr><\/thead>
        BERT<\/strong><\/td>Google<\/td>110 milyon<\/td>Ba\u011flamsal anlam analizi<\/td><\/tr>
        PaLM<\/strong><\/td>Google<\/td>540 milyar<\/td>Mant\u0131k y\u00fcr\u00fctme, \u00e7eviri<\/td><\/tr>
        Mistral<\/strong><\/td>Mistral AI<\/td>A\u00e7\u0131klanmad\u0131<\/td>A\u00e7\u0131k kaynak, h\u0131zl\u0131 ve hafif model alternatifleri<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
        \n\n\n\n

        🧩 Beklenmedik Detaylar<\/h2>\n\n\n\n

        🔍 \u015eeffafl\u0131k Eksikli\u011fi:<\/strong>
        Baz\u0131 LLM geli\u015ftiricileri (\u00f6rne\u011fin OpenAI ve Anthropic), model parametrelerini, e\u011fitim verilerini ve y\u00f6ntemlerini payla\u015fm\u0131yor. Bu durum, akademik ara\u015ft\u0131rmalar ve kar\u015f\u0131la\u015ft\u0131rmalar a\u00e7\u0131s\u0131ndan zorluk yarat\u0131yor.<\/p>\n\n\n\n

        ⚖️ Etik ve G\u00fcvenlik Odakl\u0131 Yakla\u015f\u0131mlar:<\/strong>
        Claude gibi baz\u0131 modeller, yan\u0131tlar\u0131n zarars\u0131z ve de\u011ferlerle uyumlu olmas\u0131na \u00f6ncelik veriyor. Bu, \u201cAI etik s\u0131n\u0131rlar\u0131\u201d tart\u0131\u015fmalar\u0131nda yeni bir boyut a\u00e7\u0131yor.<\/p>\n\n\n\n

        \n\n\n\n

        📈 LLM\u2019ler Neden \u00d6nemli?<\/h2>\n\n\n\n

        🔹 \u0130nsan benzeri metin \u00fcretimi<\/strong>
        🔹 Do\u011fal dil anlay\u0131\u015f\u0131 ve yorumlama<\/strong>
        🔹 \u0130\u00e7erik \u00fcretiminde devrim<\/strong>
        🔹 Sekt\u00f6rel AI \u00e7\u00f6z\u00fcmlerine temel olu\u015fturma<\/strong><\/p>\n\n\n\n

        Gelecekte, b\u00fcy\u00fck dil modelleri daha da b\u00fcy\u00fcyecek, daha etik, g\u00fcvenli ve a\u00e7\u0131klanabilir hale gelecek. Ancak bu teknolojilerin g\u00fcc\u00fcn\u00fc do\u011fru ve sorumlu \u015fekilde kullanmak, t\u00fcm ekosistemin sa\u011fl\u0131kl\u0131 geli\u015fimi i\u00e7in kritik.<\/p>\n\n\n\n

        \n\n\n\n

        📌 Sonu\u00e7: Hangi Model Ne Zaman, Neden?<\/h2>\n\n\n\n
        Model<\/th>Avantaj\u0131<\/th>\u00d6ne \u00c7\u0131kan \u00d6zellik<\/th><\/tr><\/thead>
        GPT-4<\/td>G\u00fc\u00e7l\u00fc performans, geni\u015f kullan\u0131m alan\u0131<\/td>ChatGPT altyap\u0131s\u0131<\/td><\/tr>
        Llama<\/td>A\u00e7\u0131k kaynak, eri\u015filebilirlik<\/td>405B parametre ile en g\u00fcncel versiyon<\/td><\/tr>
        Claude<\/td>G\u00fcvenli, etik uyumlu yan\u0131tlar<\/td>Anayasal AI yakla\u015f\u0131m\u0131<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
        \n\n\n\n

        NeKu.AI olarak, yapay zeka teknolojilerinin geli\u015fimini yak\u0131ndan takip ediyor ve kullan\u0131c\u0131lar\u0131m\u0131za en g\u00fcncel bilgilerle rehberlik ediyoruz. LLM\u2019leri do\u011fru anlamak ve kullanmak, bu teknolojilerden maksimum fayda sa\u011flaman\u0131n ilk ad\u0131m\u0131.<\/p>\n\n\n\n

        📢 Siz de i\u015fletmenizde LLM’leri nas\u0131l kullanabilece\u011finizi ke\u015ffetmek istiyorsan\u0131z, bizimle ileti\u015fime ge\u00e7in.
        🧠 Gelece\u011fin dilini birlikte yazal\u0131m!<\/p>","protected":false},"excerpt":{"rendered":"

        Yapay zeka sistemleri art\u0131k yaln\u0131zca g\u00f6revleri yerine getirmekle kalm\u0131yor, ayn\u0131 zamanda insan dilini anlamak, yorumlamak ve \u00fcretmek konusunda da etkileyici beceriler sergiliyor. Bu ba\u015far\u0131n\u0131n arkas\u0131ndaki anahtar [\u2026]<\/span><\/p>\n","protected":false},"author":1,"featured_media":211,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[],"tags":[],"class_list":["post-210","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry"],"yoast_head":"\nLLM (Large Language Models) Nedir? GPT, Llama, Claude ve Daha Fazlas\u0131 - NeKu.AI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/neku.ai\/en\/llm-large-language-models-nedir-gpt-llama-claude-ve-daha-fazlasi\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"LLM (Large Language Models) Nedir? GPT, Llama, Claude ve Daha Fazlas\u0131 - NeKu.AI\" \/>\n<meta property=\"og:description\" content=\"Yapay zeka sistemleri art\u0131k yaln\u0131zca g\u00f6revleri yerine getirmekle kalm\u0131yor, ayn\u0131 zamanda insan dilini anlamak, yorumlamak ve \u00fcretmek konusunda da etkileyici beceriler sergiliyor. 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