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Şevval Alper

Şevval Alper

AI Researcher
17 Articles
Stay up-to-date on B2B Tech
Şevval is an AI researcher at AIMultiple. She has previous research experience in pseudorandom number generation using chaotic systems.

Research interests

Şevval focuses on AI coding tools, AI agents, and quantum technologies.

She is part of the AIMultiple benchmark team, conducting assessments and providing insights to help readers understand various emerging technologies and their applications.

Professional experience

She contributed to organizing and guiding participants in three “CERN International Masterclasses - hands-on particle physics” events in Türkiye, working alongside faculty to facilitate learning.

Education

Şevval holds a Bachelor's degree in Physics from Middle East Technical University.

Latest Articles from Şevval

Agentic AIJul 2

Top 4 AI Search Engines Compared

Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one provides the most correct results: Deepseek Search Andi ChatGPT Search with GPT-4o Perplexity Search Pro Benchmark results Deepseek is the leader of this benchmark, by correctly providing 57% of the data in our…

Agentic AIJul 2

RELC-Bench: Retrieval on Long Context Benchmark

RELC-Bench (RELC-Bench: Retrieval on Long Context Benchmark) aims to measure a model’s ability to find and extract a specific numeric value from one or more documents within its context. It tests whether the model can remember and retrieve a specific fact it just saw in the input. Results Methodology Question format A natural-language question asking…

AIJul 2

Screenshot to Code: Lovable vs v0 vs Bolt

During my 20 years as a software developer, I led many front-end teams in developing pages based on designs that were inspired by screenshots. Designs can be transferred to code using AI tools. While expecting a pixel-perfect transfer is wrong in the current state of the tools, they can give developers a foundation to work…

Agentic AIJul 2

Code Execution with MCP: A New Approach to AI Agent Efficiency

Anthropic introduced a method in which AI agents interact with Model Context Protocol (MCP) servers by writing executable code rather than making direct calls to tools. The agent treats tools as files on a computer, finds what it needs, and uses them directly with code, so intermediate data doesn’t have to pass through the model’s…

AIJul 2

Speech-to-Text Benchmark: Deepgram vs. Whisper

We benchmarked the leading speech-to-text (STT) providers, focusing specifically on healthcare applications. Our benchmark used real-world examples to assess transcription accuracy in medical contexts, where precision is crucial. Speech-to-text benchmark results Based on both word error rate (WER) and character error rate (CER) results, GPT-4o-transcribe demonstrates the highest transcription accuracy among all evaluated speech-to-text systems.…

AIJul 1

AI Code Review Tools Benchmark

With the increased use of AI coding tools, codebases have become more prone to vulnerabilities, which increased the need for effective code reviews. To address this, we introduce RevEval (AI Code Review Eval), which benchmarks the top four AI code review tools across 309 pull requests from repositories of varying sizes and evaluates their performance…

AIJul 1

Best AI Code Editor: Cursor vs Windsurf vs Replit

Making an app without coding skills is highly trending right now. But can these tools successfully build and deploy an app? We benchmarked 6 AI code editors across 10 real-world web development challenges. Each task required implementations such as backend, frontend, authentication, state management. We evaluated backend correctness, frontend behavior, and combined performance, and analyzed…

Agentic AIJul 1

MCP Benchmark: Top MCP Servers for Web Access

We benchmarked 8 MCP servers across web search and extraction, as well as browser automation tasks, by running 4 different tasks 5 times on all suitable MCPs. We also performed a load test involving 250 concurrent AI agents. MCP servers with web access capabilities ProductSuccess rate for web search and extractSuccess rate for browser automationWeb…

AIJun 29

AI Coding Benchmark: Claude Code vs Cursor

In AI coding, the market has fragmented into two categories: Agentic CLI tools and AI code editors embedded in IDEs. Each claims to automate development. Few comparisons show how they differ under identical workloads. We benchmarked each agent across 10 full-stack web development tasks, performing ~600 atomic validation checks per agent and more than 9,600…

AIJun 29

OCR Benchmark: Text Extraction / Capture Accuracy

OCR accuracy is critical for many document processing tasks, and SOTA multi-modal LLMs are now offering an alternative to OCR. We benchmarked leading OCR services in DeltOCR Bench to identify their accuracy levels in different document types: Handwriting: GPT-5 (%95) stands out as the strongest performer, closely followed by olmOCR-2-7B (%94) and Gemini 2.5 Pro…