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Nazlı Şipi

Nazlı Şipi

KI-Forscher
30 Artikel
Bleiben Sie über B2B-Technologie auf dem Laufenden
Nazlı ist Datenanalystin bei AIMultiple. Sie verfügt über Erfahrung in der Datenanalyse in verschiedenen Branchen, wo sie komplexe Datensätze in handlungsrelevante Erkenntnisse umwandelte. Sie ist außerdem Teil des Benchmark-Teams und konzentriert sich auf große Sprachmodelle (LLMs), KI-Agenten und agentenbasierte Frameworks. Nazlı hat einen Master-Abschluss in Business Analytics von der Universität Denver.

Neueste Artikel von Nazlı

DatenMai 26

Top 6 Apple App Store Scraper: Bright Data, SerpAPI & Zyte

We benchmarked 6 web scraping providers against 1,000 Apple App Store pages, for a total of 6,000 requests, and measured success rate, completion time, and the number of metadata fields each provider returned.

DatenMai 21

Top 6 Videoscraper: Getestet & Bewertet

We tested the top 6 video scraping providers to see how they handle video metadata on the top video platform, totaling 6,000 requests, and measured their success rate, response time, and metadata fields. Video scraping benchmark results To see how we calculated these metrics, read video scraping benchmark methodology.

DatenMai 20

Beste Expedia-Scraper: Bright Data, Oxylabs & Decodo

To compare how well web scraping tools handle Expedia’s CAPTCHA challenges, dynamic JavaScript rendering, and aggressive bot detection, we tested 5 leading web data scrapers across 2,500 requests and tracked each provider’s success rate and completion time. Expedia scraping benchmark For more details on our testing process, you can read our benchmark methodology.

DatenMai 20

Top 6 Food-Delivery-Scraper: Benchmark & Anwendungsfälle

A food product’s descriptive qualities and components.

DatenMai 20

Beste Google Trends Scraping-Tools: Getestet & Bewertet

We tested 3 web data scrapers across 1,500 requests on Google Trends explore pages to see how they handle the page’s Angular-based widgets that only appear after JavaScript runs. For each provider we tracked the success rate and completion time. Google Trends scraping benchmark You can read our benchmark methodology for more details on our testing process.

DatenMai 19

5 Best Google Maps Scraper APIs: Getestet & Rangiert

To find the best Google Maps scraper, we benchmarked the top web scraping providers, Apify, Oxylabs, Octoparse, and SerpApi by running 100 searches for each. We tested 10 categories and analyzed 4,000 business listings.

DatenMai 19

Top 4 Google Play Scraping-Anbieter im Vergleich

We benchmarked four web scraping providers across Google Play product page URLs, sending 4,000 requests in total. For each request, we measured how reliably the provider returned data, how long it took from submission to final response, and how many metadata fields the response contained.

KIMai 18

Top 9 AI-Anbieter im Vergleich

The AI infrastructure ecosystem is growing rapidly, with providers offering diverse approaches to building, hosting, and accelerating models. While they all aim to power AI applications, each focuses on a different layer of the stack.

KI-AgentMai 15

Die 5 besten Open-Source-Frameworks für agentenbasierte KI im Jahr 2026

We benchmarked 4 popular open-source agentic frameworks across 2,000 runs (5 tasks, 100 runs each per framework), measuring end-to-end latency, token consumption, and architectural differences. Agentic AI frameworks benchmark We examined how the frameworks themselves influence agent behavior and the resulting impact on latency and token consumption.

DatenMai 14

Vergleich der Top 5 Indeed Web Scraper

We benchmarked 5 web scraping providers on Indeed job postings with 2,500 requests, measuring success rate, completion time, and metadata output. Indeed job postings benchmark You can read our benchmark methodology for more details on our testing process.