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Nazlı Şipi

Nazlı Şipi

Yapay Zeka Araştırmacısı
30 Makale
B2B Teknolojisinde Güncel Kalın
Nazlı, AIMultiple'da veri analisti olarak çalışmaktadır. Daha önce çeşitli sektörlerde veri analizi alanında deneyim kazanmış olup, karmaşık veri kümelerini eyleme dönüştürülebilir içgörülere dönüştürme üzerine çalışmıştır. Ayrıca, büyük dil modelleri (LLM'ler), yapay zeka ajanları ve ajan tabanlı çerçevelere odaklanan kıyaslama ekibinin de bir parçasıdır. Nazlı, Denver Üniversitesi'nden İş Analitiği alanında yüksek lisans derecesine sahiptir.

Nazlı Tarafından Son Makaleler

VeriMay 14

En İyi Glassdoor Kazıyıcılar: Bright Data, Oxylabs & Decodo

To compare how well different tools handle Glassdoor‘s CAPTCHAs, login overlays, and frequent layout changes, we tested 5 leading web data scrapers across 2,500 requests and tracked each provider’s success rate, completion time, and metadata coverage. Glassdoor scraping benchmark results You can read our benchmark methodology for more details on our testing process.

VeriMay 14

En İyi 5 İş İlanı Taranması API's Karşılaştırıldı

We benchmarked 5 leading web scraping providers across 5 major job platforms by running 12,500 requests in total, then measured each provider’s success rate, completion time, and metadata output.

Yapay zekaMay 7

Görsel Akıl Yürütmede Çok Modlu Yapay Zeka Modellerini Karşılaştırın

We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results.

VeriMay 7

Yorum Kazıma Benchmark: Bright Data, Oxylabs ve Decodo

We tested 5 web scraping providers across 5 major review platforms for a total of 12,500 requests, and measured success rate, completion time, and metadata fields. Review scraping benchmark You can read benchmark methodology section for more details on the testing process.

Yapay Zeka AjanıMay 7

Çoklu-Ajan Çerçeveleri: Zorluklar & Güçlü Yönler

Multi-agent systems use specialized agents working together to solve complex tasks. A key challenge: does performance degrade as more agents and tools are added, or can orchestration mechanisms handle the growing complexity efficiently? We benchmarked 5 agentic frameworks across 750 runs with three tasks.

Yapay Zeka AjanıMay 7

Analitik İş Akışlarında Ajan Yapay Zeka Çerçevelerinin Karşılaştırılması

Frameworks for building agentic workflows differ substantially in how they handle decisions and errors, yet their performance on imperfect real-world data remains largely untested.

VeriMay 7

6 En İyi Google Yorumları Kazıma Sağlayıcıları Karşılaştırıldı

To test how web scraping providers handle Google review extraction, we ran 2,500 requests across 5 providers on 500 Google Maps business URLs, and measured success rate, completion time, and metadata output. Google Maps reviews scraping benchmark You can read benchmark methodology for more details on testing process.

VeriMay 7

5 En İyi Tripadvisor İnceleme Kazıma API'ları

We benchmarked 4 web scraping providers on Tripadvisor review pages with 2,000 total requests, measuring success rate, completion time, and data extraction quality. Tripadvisor reviews benchmark You can read more about our Tripadvisor benchmark methodology.

VeriMay 7

En İyi 5 Yelp Yorumu Kazıyıcısı Karşılaştırıldı

To benchmark Yelp review extraction, we sent 500 business page URLs to 5 web scraping providers, generating 2,500 total requests, and compared their success rate, completion time, and metadata output. Yelp reviews scraping benchmark You can read benchmark methodology for more details on testing process.

VeriMay 7

En İyi 6 Emlak Scraper: Bright Data, Apify ve Oxylabs

We benchmarked six web scraping providers across five major real estate domains, running 1,500 property listing URLs through each provider for a total of 9,000 requests. Real estate scraping benchmark results See the methodology section for more details on the testing process.