Serviços
Contate-nos
Nenhum resultado encontrado.
Şevval Alper

Şevval Alper

Pesquisador de IA
21 Artigos
Mantenha-se atualizado sobre tecnologia B2B.

Şevval é pesquisadora de IA na AIMultiple. Ela possui experiência prévia em pesquisa na geração de números pseudoaleatórios utilizando sistemas caóticos.

Interesses de pesquisa

Şevval concentra-se em ferramentas de codificação de IA, agentes de IA e tecnologias quânticas.

Ela faz parte da equipe de avaliação comparativa da AIMultiple, realizando análises e fornecendo informações para ajudar os leitores a compreender diversas tecnologias emergentes e suas aplicações.

Experiência profissional

Ela contribuiu para a organização e orientação dos participantes em três eventos "CERN International Masterclasses - física de partículas prática" na Turquia, trabalhando em conjunto com o corpo docente para facilitar o aprendizado.

Educação

Şevval é bacharel em Física pela Universidade Técnica do Oriente Médio.

Últimos artigos de Şevval

Software EmpresarialMai 20

Automação MSP: Acronis, ConnectWise Automate & Rewst

Managed service providers (MSPs) handle a constant operational load, including ticket management, patch management, onboarding, alert monitoring, billing reconciliation, and documentation updates. These are necessary but time-intensive tasks.

IAMai 11

Melhor Editor de Código com IA: 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.

IAMai 11

Edição de Imagem com IA para eCommerce: GPT Images & Nano Banana

AI image editing tools analyze and automatically adjust product photos, allowing eCommerce businesses to enhance quality, remove backgrounds, or modify details with minimal effort. We tested the top 7 AI image editing tools on 20 images and 20 prompts across five dimensions, including prompt adaptability, realism, shadows, color rendering, and image quality.

IAMai 8

Principais Geradores de Sites de IA Avaliados

To find the most helpful prompt-to-website creator, we benchmarked the following tools: If you need to learn about no-code AI website generator tools, you can follow the links: Benchmark results We conducted this benchmark using the latest versions of the tools available as of January 2025.

IAMai 7

Benchmark de Codificação com IA: 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.

Agente de IAMai 5

Benchmark de Plataformas de Agentes de IA: Claude Managed Agents vs Google Vertex Agent Engine

We benchmarked 4 AI agent platforms across 3 dimensions: task completion (10 coding tasks × 3 runs), harness-specific capabilities (steering, reconnection, long-conversation recall, large-file handling), and cost.

Agente de IAAbr 24

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.

IAMar 30

Comparativo de Ferramentas de Criação de Vídeo com IA para E-commerce: Veo 3 vs Sora 2

Product visualization plays a crucial role in e-commerce success, yet creating high-quality product videos remains a significant challenge. Recent advancements in AI video generation technology offer promising solutions.

IAMar 26

Printscreen para código: 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.

IAMar 14

Benchmark de Ferramentas de Revisão de Código com IA

With the increased use of AI coding tools, codebases have become more prone to vulnerabilities, which increased the need for effective code reviews.