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.

Episoder(780)

AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658

AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658

Today we’re joined by Prem Natarajan, chief scientist and head of enterprise AI at Capital One. In our conversation, we discuss AI access and inclusivity as technical challenges and explore some of Pr...

4 Des 202341min

Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657

Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657

Today we’re joined by Jay Emery, director of technical sales & architecture at Microsoft Azure. In our conversation with Jay, we discuss the challenges faced by organizations when building LLM-based a...

28 Nov 202343min

Visual Generative AI Ecosystem Challenges with Richard Zhang - #656

Visual Generative AI Ecosystem Challenges with Richard Zhang - #656

Today we’re joined by Richard Zhang, senior research scientist at Adobe Research. In our conversation with Richard, we explore the research challenges that arise when regarding visual generative AI fr...

20 Nov 202340min

Deploying Edge and Embedded AI Systems with Heather Gorr - #655

Deploying Edge and Embedded AI Systems with Heather Gorr - #655

Today we’re joined by Heather Gorr, principal MATLAB product marketing manager at MathWorks. In our conversation with Heather, we discuss the deployment of AI models to hardware devices and embedded A...

13 Nov 202338min

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654

Today we’re joined by Yoshua Bengio, professor at Université de Montréal. In our conversation with Yoshua, we discuss AI safety and the potentially catastrophic risks of its misuse. Yoshua highlights ...

6 Nov 202348min

Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653

Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653

Today we’re joined by Miriam Friedel, senior director of ML engineering at Capital One. In our conversation with Miriam, we discuss some of the challenges faced when delivering machine learning tools ...

30 Okt 202344min

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652

Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652

Today we’re joined by Riley Goodside, staff prompt engineer at Scale AI. In our conversation with Riley, we explore LLM capabilities and limitations, prompt engineering, and the mental models required...

23 Okt 202339min

Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651

Today we’re joined by Sara Hooker, director at Cohere and head of Cohere For AI, Cohere’s research lab. In our conversation with Sara, we explore some of the challenges with multilingual models like p...

16 Okt 20231h 18min

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