Artificial IntelliTools

  How one graduate student spent weeks fine-tuning a RAG system to bring MIT-level education to students in Resource constraints—and the surprising lessons learned along the way. The Challenge: Bringing World-Class Education Where the Internet Doesn't Reach Picture this: You're a high school student in rural Uganda. The nearest university is hours away, internet connectivity is sparse at best, and data costs more than your family can afford. Yet somewhere on the internet, MIT has published thousands of hours of world-class lectures covering everything from calculus to computer science—completely free. The problem? You can't access them. This is the gap that Emmanuel, a graduate student at Yeshiva University's Katz School, set out to bridge with AXAM—an AI-powered educational platform designed to work entirely offline. Think of it as having a knowledgeable teaching assistant in your pocket, one that can answer questions about complex academic topics without needing ...

  How one graduate student turned 7,600 educational videos into an intelligent, offline learning companion for resource-constrained schools The Dream That Started With a Question Emmanuel sat in his data analytics class at Yeshiva University's Katz School, watching his professor explain neural networks. As President of the Katz African Students Association, he couldn't help but think about students back home in Uganda and Rwanda—brilliant minds with limited access to quality educational resources. "What if," he wondered, "we could package MIT's entire course library into something that works without internet, runs on basic computers, and answers student questions like a patient teaching assistant?" That question launched a month-long technical odyssey that would teach him more about AI, education, and real-world constraints than any textbook ever could. The Raw Material: 7,600 Hours of MIT's Best Emmanuel's starting point was remarkable: ...