Morgan Stuart is an independent consultant who helps teams identify and implement data science solutions. However, unsatisfied with the ivy walls of the tech oligarchy, he also researches and experiments with today’s latest AI trends for issues related to offline use, trust, and data privacy. A long time tinkerer and hacker, Morgan’s prior education includes working on the RVAsec badge for several years (I can’t be bothered to count). He also earned a PhD in computer science from VCU and has worked in both the enterprise and mission-driven non-profits.
Large Language Models for Hackers (<– add to your schedule)
Wield your own AI agents, for fun and profit, with open-weight Large Language Models. In this talk, the audience will learn the foundational data science that empowers LLMs to help…and hallucinate, before diving into a tutorial on “agentic” LLM techniques. Along the way, key concepts and methods are related to NIST’s AI Risk Management Framework (NIST AI 600-1) and their adversarial machine learning taxonomy (NIST AI 100-2e2023). Cut through the hype – see the limitations and attack surfaces for yourself, and explore ways you could incorporate these tools into your own practice.