

MLOps.community
Demetrios
Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)
Episodes
Mentioned books

7 snips
Oct 3, 2025 • 9min
Best AI Hackathon Project Ever? [Bit Size Episode]
A winning team at the hackathon reveals their groundbreaking AI travel agent that manages group trips from start to finish. They share insights on overcoming design challenges and integrating multiple agents. The conversation delves into secure, seamless payment systems without human intervention. User experience is highlighted with interactions via calls and WhatsApp. The use of automation for bookings is impressively detailed, showcasing their rapid traction and team's collaborative spirit. Join them as they invite fellow developers to innovate with Unicorn Mafia!

10 snips
Sep 30, 2025 • 46min
On-Device AI Agents in Production: Privacy, Performance, and Scale // Varun Khare & Neeraj Poddar // #340
Varun Khare, Founder and CEO of NimbleEdge, and Neeraj Poddar, Co-founder and CTO, dive into the revolution of on-device AI agents. They discuss why now is the perfect time for this technology, highlighting the hurdles of overmarketing and platform diversity. The duo also explores practical capabilities of on-device models, optimized through lightweight runtimes, and the evolution of personalized multi-agent systems. They delve into the privacy advantages of on-device computing and the potential of AI-first apps to transform user experiences.

64 snips
Sep 26, 2025 • 25min
Are Evals Dead?
Chiara Caratelli, a data scientist at Prosus Group, emphasizes the critical nature of evaluations in AI development. She discusses the importance of stress-testing and building trust through rigorous evaluations rather than merely relying on larger models. Chiara shares her approach to bootstrapping evaluation sets and the role of user feedback in refining these tests. She also touches on the significance of simulating real-world interactions and the need for effective error analysis to enhance agent performance. Learn how her insights can impact the future of AI.

60 snips
Sep 19, 2025 • 57min
The DuckLake Lakehouse Format // Hannes Mühleisen // #339
Hannes Mühleisen, co-founder and CEO of DuckDB Labs and Professor of Data Engineering at Radboud University, discusses the innovative DuckLake lakehouse format. He explains how DuckLake transforms data management by separating metadata and computation, enabling a decentralized approach while maintaining centralized control. The conversation covers its rapid adoption due to simplicity, governance models avoiding feature bloat, and surprising community use cases. Hannes also shares insights into upcoming priorities for DuckLake and its potential impact on larger organizations with multiplayer workflows.

29 snips
Sep 16, 2025 • 33min
How LiveKit Became An AI Company By Accident
Russ d'Sa, CEO of LiveKit, shares his journey from an open-source project to powering voice interfaces for giants like OpenAI. The turning point came when LiveKit collaborated on ChatGPT’s voice features, showcasing the challenges of making AI sound human. He discusses the future of voice in multimodal AI, the importance of minimizing latency for real-time communication, and how entrepreneurial adaptability has shaped their innovative path. Russ believes voice holds rich signals that can transform human-AI interaction.

Sep 12, 2025 • 46min
Economics of Building Data Centers, GPU Clouds, Sovereign AI
AI Conversations Powered by Prosus Group. Craig Tavares, COO of Buzz High Performance Compute, shares lessons from building GPU cloud infrastructure worldwide. He stresses the role of sovereign mandates, renewable power, and modular cooling in scaling data centers, while highlighting NVIDIA partnerships and orchestration as key to sustaining AI workloads.Guest speaker: Craig Tavares - COO of Buzz HPCHost: Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]

21 snips
Sep 9, 2025 • 59min
Trust at Scale: Security and Governance for Open Source Models // Hudson Buzby // #338
Hudson Buzby, a Solutions Architect at JFrog, specializes in MLOps and large-scale AI deployments. In this discussion, he delves into the challenges of integrating open-source large language models within enterprise settings, emphasizing governance and compliance. The conversation touches on the contrasting security needs of startups versus established companies, reflecting on the vital role of structure in MLOps amidst rapid AI advancements. Buzby also highlights the importance of resource management and security to navigate the evolving landscape of AI innovation.

134 snips
Sep 5, 2025 • 53min
LLM Search, UI/UX challenges, Context Engineering and the 80/20 of Eval
Nishikant Dhanuka, Senior Director of AI at Prosus Group, dives into enhancing AI agents for e-commerce and productivity. He shares insights on context engineering, highlighting the importance of user history and real-time data for smarter interactions. The discussion also covers UI/UX challenges, emphasizing better search functionalities through semantic understanding. Nishikant introduces collaborative user evaluations via 'labeling parties' and stresses the need for AI to genuinely simplify lives, not complicate them.

49 snips
Sep 1, 2025 • 49min
The Era of AI Agents in Marketing // Joel Horwitz // #337
Joel Horwitz, a Growth Engineer at Neoteric3D, discusses the transformative role of AI agents in marketing. He highlights how tools like Clay are enabling hyper-personalized campaigns, redefining the role of GTM teams from mere marketers to builders. The conversation delves into modernizing lead qualification, emphasizing the importance of human connections alongside AI. Joel also addresses the game-changing potential of large language models in strategies like SEO and Google AdWords management, showcasing innovative approaches to engage clients.

46 snips
Aug 27, 2025 • 58min
Distilling 200+ Hours of NeurIPS: What’s Next for AI // Nikolaos Vasiloglou // #336
Nikolaos Vasiloglou, VP of Research-ML at RelationalAI, dives into insights from over 200 hours of discussions at NeurIPS. He emphasizes the evolution of AI, particularly in language models and generative AI. Nikolaos discusses challenges in utilizing deep learning for tabular data and the role of knowledge graphs in enhancing AI processes. He also explores how AI could eventually automate research synthesis, making real-time conference summaries a reality. Tune in for a peek into the future of AI research and its practical applications!