{"article":{"annotation":{"article_id":"atscale-benchmark-finds-semantic-layer-improves-seven-models","available_at":"2026-10-16T10:36:46.336433Z","geography_revision":"ef6ee0010dda5fe7b240fd514749b43e214c57da73222d2e40ec83b276dd0977","id":"d228939923f4f4bf6598da9356b6531ec1f82e0f724a1ebb123d81407028c338","input_sha256":"79259180c4081d963c8f72c21456ab4f0cd14f0f1100bae73f82a34511cf5bcb","limitations":["Rule-derived subjects are candidates, not verified editorial labels or calibrated model probabilities.","Coverage is distinct from event location. 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Şirket, 410 iş verisi sorusunda semantik katman kullanıldığında test edilen modellerin her birinin doğruluğunun arttığını ve açık ağırlıklı bir modelin öncü modellerle benzer düzeye geldiğini bildirdi.","Sonuçlar AtScale’ın kendi deneyine aittir; şirket bunları ön değerlendirme olarak nitelendiriyor ve BIRD ekibinin doğrulamadığını belirtiyor. Bulgular, bir modelin ham kurumsal tablolara doğrudan sorgu üretmesi ile tanımlı iş ölçütleri üzerinden sorgulaması arasındaki farkı inceliyor; tüm işletmelerde aynı kazanımı garanti etmiyor."],"sections":[]},"corrections":[],"country":"US","data":{"blocks":[{"description":{"ar":"تقييم أتسكيل باستخدام BIRD-Interact","de":"AtScale-Auswertung mit BIRD-Interact","en":"AtScale BIRD-Interact evaluation","es":"Evaluación BIRD-Interact de AtScale","fr":"Évaluation BIRD-Interact d’AtScale","pt":"Avaliação BIRD-Interact da AtScale","tr":"AtScale’ın BIRD-Interact değerlendirmesi"},"id":"source-record","items":[{"date":"2026-10-15","description":{"ar":"سبعة نماذج و410 أسئلة عن بيانات الأعمال؛ وأُبلغ عن تحسن كل نموذج مع الطبقة الدلالية.","de":"Sieben Modelle und 410 Fragen zu Geschäftsdaten; für jedes Modell wurde mit der semantischen Ebene eine Verbesserung gemeldet.","en":"Seven models and 410 business-data questions; improvement with the semantic layer was reported for each model.","es":"Siete modelos y 410 preguntas sobre datos empresariales; se informó de mejoras con la capa semántica en todos.","fr":"Sept modèles et 410 questions sur des données métier; une amélioration avec la couche sémantique a été signalée pour chacun.","pt":"Sete modelos e 410 perguntas sobre dados empresariais; foi relatada melhora com a camada semântica em todos.","tr":"Yedi model ve 410 iş verisi sorusu; semantik katmanla her modelde iyileşme bildirildi."},"label":{"ar":"نطاق التقييم","de":"Umfang der Auswertung","en":"Evaluation scope","es":"Alcance de la evaluación","fr":"Périmètre de l’évaluation","pt":"Escopo da avaliação","tr":"Değerlendirme kapsamı"},"status":"occurred"}],"methodology":{"ar":"تعكس الأرقام التقييم الأولي للشركة؛ ولم يتحقق منها BIRD ولا تمثل نتائج مستقلة.","de":"Die Zahlen stammen aus der vorläufigen Auswertung des Unternehmens; BIRD hat sie nicht geprüft und sie sind keine unabhängigen Ergebnisse.","en":"Figures reflect the company’s preliminary evaluation; they are not verified by BIRD and are not independent results.","es":"Las cifras reflejan la evaluación preliminar de la empresa; BIRD no las ha verificado y no son resultados independientes.","fr":"Les chiffres reflètent l’évaluation préliminaire de l’entreprise; ils ne sont pas vérifiés par BIRD et ne constituent pas des résultats indépendants.","pt":"Os números refletem a avaliação preliminar da empresa; não foram verificados pelo BIRD e não são resultados independentes.","tr":"Değerler şirketin kendi ön değerlendirmesinden aktarılmıştır; BIRD tarafından doğrulanmamıştır ve bağımsız sonuç sayılmaz."},"sourceUrls":["https://www.atscale.com/press/atscale-research-shows-semantic-layers-double-ai-accuracy/"],"title":{"ar":"أتسكيل: الطبقة الدلالية حسّنت النماذج السبعة المختبرة","de":"AtScale zufolge verbesserte die semantische Ebene alle sieben getesteten Modelle","en":"AtScale says semantic layer improved all seven AI models tested","es":"AtScale afirma que la capa semántica mejoró los siete modelos probados","fr":"AtScale affirme que la couche sémantique a amélioré les sept modèles testés","pt":"AtScale afirma que a camada semântica melhorou os sete modelos testados","tr":"AtScale: semantik katman test edilen yedi yapay zekâ modelini de iyileştirdi"},"type":"events","updatedAt":"2026-10-16T10:20:41+00:00"}],"version":1},"data_downloads":[{"formats":{"csv":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models/data/source-record?lang=tr&format=csv","json":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models/data/source-record?lang=tr&format=json"},"id":"source-record"}],"data_types":["events"],"editorial_illustration":{"alt":"Teknoloji, işlemci ve bağlantılı bilginin kavramsal 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BIRD-Interact testinde yedi büyük dil modelinin iş verileri sorularındaki doğruluğunun semantik katmanla arttığını bildirdi.","text":"Şirket, BIRD-Interact testinde yedi büyük dil modelinin iş verileri sorularındaki doğruluğunun semantik katmanla arttığını bildirdi.\n\nAtScale, 15 Ekim’de BIRD-Interact kıyaslamasında yedi büyük dil modelini değerlendirdiği sonuçları yayımladı. Şirket, 410 iş verisi sorusunda semantik katman kullanıldığında test edilen modellerin her birinin doğruluğunun arttığını ve açık ağırlıklı bir modelin öncü modellerle benzer düzeye geldiğini bildirdi.\n\nSonuçlar AtScale’ın kendi deneyine aittir; şirket bunları ön değerlendirme olarak nitelendiriyor ve BIRD ekibinin doğrulamadığını belirtiyor. Bulgular, bir modelin ham kurumsal tablolara doğrudan sorgu üretmesi ile tanımlı iş ölçütleri üzerinden sorgulaması arasındaki farkı inceliyor; tüm işletmelerde aynı kazanımı garanti etmiyor.","title":"AtScale: semantik katman test edilen yedi yapay zekâ modelini de iyileştirdi","topics":[],"translations":[{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=tr","language":"tr","url":"https://newsverum.com/tr/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=en","language":"en","url":"https://newsverum.com/en/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=ar","language":"ar","url":"https://newsverum.com/ar/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=fr","language":"fr","url":"https://newsverum.com/fr/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=es","language":"es","url":"https://newsverum.com/es/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=de","language":"de","url":"https://newsverum.com/de/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},{"api_url":"https://newsverum.com/api/v1/articles/atscale-benchmark-finds-semantic-layer-improves-seven-models?lang=pt","language":"pt","url":"https://newsverum.com/pt/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"}],"url":"https://newsverum.com/tr/news/atscale-benchmark-finds-semantic-layer-improves-seven-models"},"version":"1"}