{"id":616,"date":"2026-04-09T12:23:28","date_gmt":"2026-04-09T09:23:28","guid":{"rendered":"https:\/\/shareai.now\/?p=616"},"modified":"2026-04-14T03:21:11","modified_gmt":"2026-04-14T00:21:11","slug":"embeddinggemma-shareai-300m-gomme-modeli","status":"publish","type":"post","link":"https:\/\/shareai.now\/tr\/blog\/haberler\/embeddinggemma-shareai-300m-gomme-modeli\/","title":{"rendered":"ShareAI'de EmbeddingGemma: 300M \u00c7ok Dilli G\u00f6m\u00fcl\u00fc \u00d6\u011feler"},"content":{"rendered":"<h1 class=\"wp-block-heading\">1. EmbeddingGemma art\u0131k ShareAI'de<\/h1>\n\n\n\n<p>2. Duyuruyoruz ki <strong>3. EmbeddingGemma<\/strong>, 4. , Google'\u0131n kompakt a\u00e7\u0131k g\u00f6mme modeli, art\u0131k ShareAI'de mevcut.<\/p>\n\n\n\n<p>-de\/-da <strong>6. 300 milyon parametre<\/strong>, 7. ile, EmbeddingGemma boyutuna g\u00f6re son teknoloji performans sunar. Bu, <strong>8. Gemma 3<\/strong> ile <strong>9. T5Gemma ba\u015flatmas\u0131<\/strong> 10. ve <strong>11. Gemini<\/strong> 12. modellerinin arkas\u0131ndaki ayn\u0131 ara\u015ft\u0131rma ve teknolojiyi kullan\u0131r. Model, metnin vekt\u00f6r temsillerini \u00fcretir ve bu da onu arama ve alma g\u00f6revleri i\u00e7in, <strong>13. s\u0131n\u0131fland\u0131rma<\/strong>, <strong>14. k\u00fcmeleme<\/strong>, ve <strong>15. anlamsal benzerlik dahil olmak \u00fczere, olduk\u00e7a uygun hale getirir.<\/strong>. Veri ile e\u011fitildi <strong>100+ konu\u015fulan dil<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Neden \u00f6nemli<\/h2>\n\n\n\n<p>Modelin k\u00fc\u00e7\u00fck boyutu ve cihaz odakl\u0131 olmas\u0131, s\u0131n\u0131rl\u0131 kaynaklara sahip ortamlarda kullan\u0131lmas\u0131n\u0131 pratik hale getiriyor\u2014<strong>mobil telefonlar, diz\u00fcst\u00fc bilgisayarlar veya masa\u00fcst\u00fc bilgisayarlar<\/strong>\u2014en son teknoloji AI modellerine eri\u015fimi demokratikle\u015ftiriyor ve herkes i\u00e7in yenili\u011fi te\u015fvik ediyor.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/embeddinggemma-1024x576.png\" alt=\"\" class=\"wp-image-1547\"\/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">E\u011fitim veri seti<\/h2>\n\n\n\n<p>EmbeddingGemma, 100+ konu\u015fulan dildeki veri ile e\u011fitildi.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Web belgeleri<\/strong><br>\u00c7e\u015fitli bir web metni koleksiyonu, geni\u015f dil stillerine, konulara ve kelime da\u011farc\u0131\u011f\u0131na maruz kalmay\u0131 sa\u011flar. Veri seti \u015funlar\u0131 i\u00e7erir: <strong>100+ dil<\/strong>.<\/li>\n\n\n\n<li><strong>Kod ve teknik belgeler<\/strong><br>Programlama dilleri ve \u00f6zel bilimsel i\u00e7eriklerin dahil edilmesi, modelin kod ve teknik sorular\u0131 anlama yetene\u011fini geli\u015ftiren yap\u0131 ve desenleri \u00f6\u011frenmesine yard\u0131mc\u0131 olur.<\/li>\n\n\n\n<li><strong>Sentetik ve g\u00f6rev odakl\u0131 veri<\/strong><br>\u00d6zenle haz\u0131rlanm\u0131\u015f sentetik veriler, bilgi alma, s\u0131n\u0131fland\u0131rma ve duygu analizi gibi belirli becerileri \u00f6\u011fretir, yayg\u0131n g\u00f6mme uygulamalar\u0131 i\u00e7in performans\u0131 iyile\u015ftirir.<\/li>\n<\/ul>\n\n\n\n<p>\u00c7e\u015fitli kaynaklar\u0131n bu kombinasyonu, geni\u015f bir g\u00f6rev ve veri format\u0131 yelpazesini i\u015fleyebilen g\u00fc\u00e7l\u00fc bir \u00e7ok dilli g\u00f6mme modeli i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Neler olu\u015fturabilirsiniz<\/h2>\n\n\n\n<p>EmbeddingGemma'y\u0131 kullan\u0131n <strong>arama ve alma<\/strong>, <strong>15. anlamsal benzerlik dahil olmak \u00fczere, olduk\u00e7a uygun hale getirir.<\/strong>, <strong>s\u0131n\u0131fland\u0131rma hatlar\u0131<\/strong>, ve <strong>14. k\u00fcmeleme<\/strong>\u2014\u00f6zellikle k\u0131s\u0131tl\u0131 cihazlarda \u00e7al\u0131\u015fabilen y\u00fcksek kaliteli g\u00f6mmelere ihtiyac\u0131n\u0131z oldu\u011funda.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Referans<\/h3>\n\n\n\n<p><a href=\"https:\/\/ai.google.dev\/gemma\/docs\/embeddinggemma\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Belgeler<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>\u015eimdi ShareAI'de mevcut.<\/strong><\/h2>\n\n\n\n<p>\u00c7al\u0131\u015ft\u0131r\u0131n. Test edin. G\u00f6nderin.<\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>EmbeddingGemma art\u0131k ShareAI'de EmbeddingGemma'n\u0131n, Google'\u0131n kompakt a\u00e7\u0131k g\u00f6mme modelinin, art\u0131k ShareAI'de mevcut oldu\u011funu duyuruyoruz.<\/p>","protected":false},"author":1,"featured_media":617,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cta-title":"Try EmbeddingGemma on ShareAI","cta-description":"Spin up the 300M multilingual embedding model in the ShareAI Playground or integrate it via API for search, similarity, and clustering.","cta-button-text":"Launch Playground","cta-button-link":"","rank_math_title":"EmbeddingGemma on ShareAI: 300M Multilingual Embeddings","rank_math_description":"EmbeddingGemma is now on ShareAI: a 300M open embedding model from Google for search, retrieval, clustering and semantic similarity\u2014multilingual, on-device.","rank_math_focus_keyword":"EmbeddingGemma","footnotes":""},"categories":[7],"tags":[],"class_list":["post-616","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/616","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/comments?post=616"}],"version-history":[{"count":3,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/616\/revisions"}],"predecessor-version":[{"id":2207,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/616\/revisions\/2207"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media\/617"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}