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

Erwin Huizenga

AI Summary

AI Chapters

Episode notes

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.

Highlight challenges in LLMOps, such as managing large models and specialized requirements.

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.

Introduction

5min

Evolution of Artificial Intelligence and Data Science

11min

Transition to Machine Learning at Google Cloud

14min

Exploring Gemini Project at Google

12min

Selecting the Best LLM for Specific Queries

15min

Comparison of LLM Deployment Process with Traditional Algorithms

4min

Reflecting on Career Growth and Cultural Transition

3min

Our guest today is Erwin Huizenga, Machine Learning Lead at Google and expert in Applied AI and LLMOps.

In our conversation, Erwin first discusses how he got into the field and his previous experiences at SAS and IBM. We then talk about his work at Google: from the early days of cloud computing when he joined the company to his current work on Gemini. We finally dive into the world of LLMOps and share insights on how to evaluate LLMs, how to monitor their performances and how to deploy them.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

Erwin's LLMOps coursera course: https://www.deeplearning.ai/short-courses/llmops/

Follow Erwin on LinkedIn: https://www.linkedin.com/in/erwinhuizenga/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

---
(00:00) - Intro

(05:04) - Early Experiences

(15:51) - Joining Google

(20:20) - Early Days of Cloud Computing

(26:18) - Advantages of Cloud Infrastructure

(30:09) - Gemini and its Launch

(37:32) - Gemini vs Other LLMs

(46:15) - LLMOps

(50:50) - Evaluating and Monitoring LLMs

(57:34) - Deploying LLMs vs Traditional ML Models

(01:01:07) - Personal Stories and Career Insights

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.

AI Stories

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

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

Deep dives

Evolving Career Journey

AI Ethics and Principles

Challenges in LLM Ops

Continuous Learning Approach

Cultural Adaptation and Growth

Remember Everything You Learn from Podcasts