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.

Jaksot(780)

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

Today we’re joined by Jeff Gehlhaar, vice president of technology at Qualcomm Technologies. In our annual conversation with Jeff, we dig into the relationship between Jeff’s team on the product side a...

15 Elo 202243min

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

Today we close out our ICML 2022 coverage joined by Sharad Goel, a professor of public policy at Harvard University. In our conversation with Sharad, we discuss his Outstanding Paper award winner Caus...

8 Elo 202237min

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

Today we continue our ICML coverage joined by Melika Payvand, a research scientist at the Institute of Neuroinformatics at the University of Zurich and ETH Zurich. Melika spoke at the Hardware Aware E...

1 Elo 202244min

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

Today we’re joined by Arash Behboodi, a machine learning researcher at Qualcomm Technologies. In our conversation with Arash, we explore his paper Equivariant Priors for Compressed Sensing with Unknow...

25 Heinä 202239min

Managing Data Labeling Ops for Success with Audrey Smith - #583

Managing Data Labeling Ops for Success with Audrey Smith - #583

Today we continue our Data-Centric AI Series joined by Audrey Smith, the COO at MLtwist, and a recent participant in our panel on DCAI. In our conversation, we do a deep dive into data labeling for ML...

18 Heinä 202247min

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

Today we’re joined by Richard Socher, the CEO of You.com. In our conversation with Richard, we explore the inspiration and motivation behind the You.com search engine, and how it differs from the trad...

11 Heinä 202246min

On The Path Towards Robot Vision with Aljosa Osep - #581

On The Path Towards Robot Vision with Aljosa Osep - #581

Today we wrap up our coverage of the 2022 CVPR conference joined by Aljosa Osep, a postdoc at the Technical University of Munich & Carnegie Mellon University. In our conversation with Aljosa, we explo...

4 Heinä 202247min

More Language, Less Labeling with Kate Saenko - #580

More Language, Less Labeling with Kate Saenko - #580

Today we continue our CVPR series joined by Kate Saenko, an associate professor at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. In our conversation with Kate, we explore...

27 Kesä 202247min

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