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

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

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

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

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

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

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

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

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

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

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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 Juli 201746min

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