Şevval Alper
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
Benchmark AGI: A IA Pode Gerar Valor Econômico
AI will have its greatest impact when AI systems start to create economic value autonomously. We benchmarked whether frontier models can generate economic value. We prompted them to build a new digital application (e.g., website or mobile app) that can be monetized with a SaaS or advertising-based model.
8 Modelos de Código de IA Avaliados: LMC-Eval
More than 37% of tasks performed on AI models are about computer programming and maths.
OCR Benchmark: Extração / Captura de Precisão de Texto
OCR accuracy is critical for many document processing tasks, and SOTA multi-modal LLMs are now offering an alternative to OCR.
Referência de Gerador de Texto para Vídeo
A text-to-video generator is an AI system that turns written prompts into short videos by generating visuals, motion, and sometimes audio directly from natural language.
Execução de Código com MCP: Uma Nova Abordagem para a Eficiência de Agentes de IA
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 memory.
Top 10 Google Colab Alternativas
Google Colaboratory is a popular platform for data scientists and machine learning scientists, but its limitations and pricing may not meet your needs. Several alternatives offer unique features and capabilities that cater to different data science needs and scenarios.
LLM Parâmetros: GPT-5 Alto, Médio, Baixo e Mínimo
New LLMs, such as OpenAI’s GPT-5 family, come in different versions (e.g., GPT-5, GPT-5-mini, and GPT-5-nano) and with various parameter settings, including high, medium, low, and minimal. Below, we explore the differences between these model versions by gathering their benchmark performance and the costs to run the benchmarks. Price vs.
Agentes de IA: Operator vs Uso do Navegador vs Projeto Mariner
AI agents are increasingly marketed as end-to-end digital workers, but real-world performance can vary widely depending on the task, tools, and execution environment. To understand what these systems can genuinely deliver today, we conducted hands-on benchmarking across practical business scenarios.
Benchmark de Fala-para-Texto: 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.
Vibe Coding: Ótimo para MVP Mas Não Pronto para Produção
Vibe coding is a new term that has entered our lives with AI coding tools like Cursor. It means coding by only prompting. We made several benchmarks to test the vibe coding tools, and with our experience, we decided to prepare this detailed guide.
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