Privacy-First AI Learning in Your Own Homelab
- Speaker: Kevin Howell
- Room: 332
- Time: Saturday, Oct 24th from 09:00 – 09:50
- Format: Talk (50 minutes)
- Difficulty: Beginner - Moderate
- Track: Technical
- Experience: Principal Software Engineer at Red Hat with over 15 years of industry experience, currently driving technical direction for Red Hat OpenShift AI.
Description:
Many convenient and cheap ways to learn about AI come with a significant catch: free AI services often use your data to train their models, creating a privacy nightmare. Instead of relying on proprietary providers, you can use open-source software and open weight models to learn AI concepts while maintaining complete privacy. This talk provides a lightning-fast tour of open source projects for home AI engineering, focusing on inference with small models, image generation and recognition, and basic observability.
Target Audience:
- Self-hosters
- Enthusiasts