vBrownBag

Applying Chaos Engineering to ML & Gen AI Workloads with Jenn Bergstrom

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Join Jenn Bergstrom and the vBrownBag crew for a deep dive into chaos engineering for machine learning and AI models. Discover how deliberate failure injection can improve system resilience, explore real-world experiments on AI model vulnerabilities, and learn why testing for failure is critical in today’s fast-moving AI landscape. Whether you’re an engineer, data scientist, or tech leader, this conversation is packed with practical insights, cautionary tales, and a touch of humor.

#ChaosEngineering #MachineLearning #AI #vBrownBag #AIOps #ModelResilience #TechTalk

Chapters:

  • 00:00 – Introduction & vBrownBag Welcome
  • 02:45 – What Is Chaos Engineering?
  • 10:45 – Netflix, Chaos Monkey, and the Origins
  • 16:40 – Chaos Engineering for AI & ML Models
  • 27:00 – Non-Determinism in LLMs and Testing Challenges
  • 46:00 – Organizational Adoption & Q&A

    • Resources:

    https://www.linkedin.com/in/jenn-bergstrom/

    https://amzn.to/44JBw5D - "Security Chaos Engineering: Sustaining Resilience in Software and Systems"

    https://amzn.to/4l3fFMi - "Chaos Engineering: Site reliability through controlled disruption"

    https://amzn.to/4kiqY1W - "Chaos Engineering: System Resiliency in Practice"

    https://netflix.github.io/chaosmonkey/

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