fast.ai vs Mathos AI (formerly MathGPTPro)

fast.ai teaches deep learning through free online courses built for coders who may not have a PhD or a giant GPU budget. The site hosts Practical Deep Learning for Coders, the newer How to Solve It With Code track on Solveit, and a long-running blog on AI ethics, education, and research from founders Jeremy Howard and Rachel Thomas.

Most ML courses assume you already know linear algebra and can navigate academic papers. fast.ai flips that: you start by training useful models in the first lesson, then peel back the theory as you go. The companion fastai PyTorch library and nbdev notebook tooling are open source, so what you learn in the videos maps directly to production code rather than toy exercises.

Students, career switchers, and working developers who want hands-on deep learning without gatekeeping use fast.ai. The nonprofit research institute joined Answer.AI in 2024 while keeping its courses and libraries free, and its work has been covered by The Economist, The New York Times, and MIT Technology Review.

Mathos AI is an education math solver and tutor that turns a photo, typed equation, or word problem into step-by-step solutions, quizzes, flashcards, and animated lesson videos. One prompt can branch into a worked answer, a 5 to 10 second video first frame, practice cards, and an adaptive review path when you miss a concept.

Generic chatbots hand back a final number with little scaffolding. Mathos breaks problems to their core, repairs the prerequisite you missed before repeating the topic, and the AI Tutor watches your whiteboard steps to catch errors at the exact line where reasoning breaks. The company reports 5 million students and 100 million problems solved.

High school and college students use it for calculus, algebra, and physics homework, while parents get session summaries through a dashboard. The product is free to start with a 3-day trial on paid plans, and an enterprise video API tier offers 3,800 generated minutes per month.