Using LLMs for Massive Code Trace Analysis: Part 1

In prior articles and in a recent webinar, I’ve covered the use of AI for UEFI and OS kernel trace analysis. This is a groundbreaking and novel approach for code coverage research, with many applications and potential use cases: at-scale bug triaging, codebase vulnerability scans, firmware/OS performance optimization, and many others. In this article, the [ ]