Overview
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Explore the development of AI agents that prioritize privacy, local execution, and personal control in this conference talk from the AI Engineer Summit 2025. Discover how to build AI agents that run locally on your devices while maintaining fast performance and keeping your sensitive information under your direct control. Learn about the technical challenges and solutions for creating trustworthy AI agents that can handle your most intimate data without compromising privacy or security. Gain insights into the current state of local AI agent development and understand the trade-offs between performance, privacy, and functionality when deploying AI agents in personal environments. The presentation addresses key questions about whether AI agents can truly operate independently of cloud services while maintaining the speed and capabilities users expect, making it essential viewing for developers and engineers interested in privacy-preserving AI technologies.
Syllabus
Personal, Local, Private AI Agents: Soumith Chintala
Taught by
AI Engineer