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AI Stories

Google, Gemini, Cloud & LLMOps with Erwin Huizenga #46

Apr 25, 2024
Erwin Huizenga, Machine Learning Lead at Google, discusses his journey from SAS and IBM to Google. Topics include early days of cloud computing, Gemini vs other LLMs, LLMOps, evaluating and monitoring LLMs, and deploying LLMs vs traditional ML models.
01:03:32

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Emphasize continuous learning and adaptability in AI career progression.
  • Focus on ethical AI practices and problem-solving over deploying sophisticated models.

Deep dives

Evolving Career Journey

Erwin Heisenga shares his career evolution from working at startups, IBM, and SAS to joining Google in 2017. He emphasizes the importance of building technical skills and staying adaptable in the ever-changing AI landscape. Erwin highlights the significance of continuous learning and hands-on experience in shaping a successful career progression.

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