8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.
IEEE

An Interactive Question-Answering System Using Large Language Model and Retrieval-Augmented Generation in an Intelligent Tutoring System on the Programming Domain

Abstract: The insufficient communication between mentors and students has been one of the main disadvantages of modern programming learning platforms. In this paper, we propose the development of a ...