• Insights from Building AI Systems At Google Scale: In Conversation With Kyle Nesbit

  • Dec 10 2024
  • Length: 53 mins
  • Podcast

Insights from Building AI Systems At Google Scale: In Conversation With Kyle Nesbit

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  • Summary

  • Kyle Nesbit, a longtime Googler and AI expert, joins us on Deployed to share lessons from his 17+ years at the forefront of distributed systems, machine learning, and AI-driven product innovation.

    Kyle has helped build foundational technologies like BigQuery and worked on early large language model (LLM) development at Google, giving him a unique perspective on how teams can successfully transition from traditional engineering to modern AI-focused workflows.

    In this episode, we explore:

    • The challenges and opportunities of transitioning traditional engineering teams to LLM development
    • Why starting with evaluation metrics is the foundation for success
    • Practical strategies for iterative improvement and guardrail design
    • How to balance product priorities and quality trade-offs when scaling AI systems
    • The real story behind AI demos and how to communicate progress effectively
    • Foundational issues in data discovery and access—and why solving them matters more than chasing trends
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