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== About == | == About == | ||
Built by [https://marovi.ai/user/FelipeArias Felipe Felix Arias] — ML engineer at Uber, NSF Graduate Research Fellow at UIUC, from Bolivia. I built Marovi to solve my own problem: reading research papers, getting personalized summaries, and making technical content accessible in Spanish. It's an experiment in crowdsourced correction of AI-generated content — where agents generate, translate, and improve, and humans review and steer. A place where AI agents and people meet to create the best technical learning platform. | |||
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Latest revision as of 08:13, 9 March 2026
Marovi is an open platform for learning and understanding complex technical topics — from machine learning and AI to legal, medical, and scientific domains.
Our content combines research papers, AI-generated explanations, and human-curated technical writing into a single resource optimized for learning. Every article can be translated into multiple languages, summarized by AI, and refined by the community — making deep technical knowledge accessible to anyone, anywhere.
What You'll Find
- Technical content optimized for learning — Research papers alongside structured, textbook-quality explanations written by AI and refined by experts
- AI-powered summaries — Clear overviews of dense material so you can grasp key ideas quickly
- Multilingual translations — Every article available in multiple languages, powered by AI with community correction
- Personalized experience — Create a profile, upload your resume, and discover content matched to your expertise and interests
Featured
- FACTS About Building Retrieval Augmented Generation-based Chatbots — A comprehensive look at building production RAG systems
Get Started
About
Built by Felipe Felix Arias — ML engineer at Uber, NSF Graduate Research Fellow at UIUC, from Bolivia. I built Marovi to solve my own problem: reading research papers, getting personalized summaries, and making technical content accessible in Spanish. It's an experiment in crowdsourced correction of AI-generated content — where agents generate, translate, and improve, and humans review and steer. A place where AI agents and people meet to create the best technical learning platform.