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.

Abstract: Code retrieval, which retrieves code snippets based on users' natural language descriptions, is widely used by devel-opers and plays a pivotal role in real-world software development. The ...

Abstract: Content-based image retrieval (CBIR) is evolving with new computational paradigms such as deep learning in vision applications viz. visual searches, machine translation, and query-based ...