An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708

An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708

Today we're joined by Sunil Mallya, CTO and co-founder of Flip AI. We discuss Flip’s incident debugging system for DevOps, which was built using a custom mixture of experts (MoE) large language model (LLM) trained on a novel "CoMELT" observability dataset which combines traditional MELT data—metrics, events, logs, and traces—with code to efficiently identify root failure causes in complex software systems. We discuss the challenges of integrating time-series data with LLMs and their multi-decoder architecture designed for this purpose. Sunil describes their system's agent-based design, focusing on clear roles and boundaries to ensure reliability. We examine their "chaos gym," a reinforcement learning environment used for testing and improving the system's robustness. Finally, we discuss the practical considerations of deploying such a system at scale in diverse environments and much more. The complete show notes for this episode can be found at https://twimlai.com/go/708.

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LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44

LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44

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Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43

Today’s show, which concludes the first season of the Industrial AI Series, features my interview with Bonsai co-founder and CEO Mark Hammond. I sat down with Mark at Bonsai HQ a few weeks ago and we ...

21 Elo 20171h 5min

Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42

Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42

Recently I had a chance to catch up with a friend and friend of the show, Josh Bloom, vice president of data & analytics at GE Digital. If you’ve been listening for a while, you already know that Josh...

14 Elo 201752min

Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41

Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41

The show you’re listening to features my interview with Erin Shellman. Erin is a statistician and data science manager with Zymergen, a company using robots and machine learning to engineer better mic...

5 Elo 201735min

Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39

Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39

This show features my interview with Drew Conway, whose Wrangle keynote could have been called “Confessions of a CIA Data Scientist.” The focus of our interview, and of Drew’s presentation, is an inte...

5 Elo 201734min

Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40

Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40

The show you’re about to listen to features my interview with Sharath Rao, Tech Lead Manager & Machine Learning Engineer at Instacart I reached out to Sharath about being on the show and was blown awa...

4 Elo 201731min

Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38

This week, I’m happy to bring you my interview with Calvin Seward, a research scientist with Berlin, Germany based Zalando. While our American listeners might not know the name Zalando, they’re one of...

31 Heinä 201746min

Deep Robotic Learning with Sergey Levine - TWiML Talk #37

Deep Robotic Learning with Sergey Levine - TWiML Talk #37

This week we continue our Industrial AI series with Sergey Levine, an Assistant Professor at UC Berkeley whose research focus is Deep Robotic Learning. Sergey is part of the same research team as a co...

24 Heinä 201746min

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