Agentic Conversations (formally mlops.community)

00:37:47

Thousands of Fine-Tuned Models

Agentic Conversations (formally mlops.community) ·

2025/11/03

Jaipal Singh Goud is the CTO at Prem AI, working on model customization and privacy-preserving compute. This episode was recorded at the Plan B studios in Lugano, Switzerland. For more information, visit https://pow.space/How do fine-tuned models and RAG systems power personalized AI agents that learn, collaborate, and transform enterprise workflows? What kind of technical challenges do we need to first examine before this becomes real?Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~

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00:50:37

The Semantic Layer and AI Agents // David Jayatillake...

Agentic Conversations (formally mlops.community) ·

2025/10/24

The Semantic Layer and AI Agents // MLOps Podcast #343 with David Jayatillake, VP of AI at Cube.dev.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractDavid Jayatillake argues that the real battle in data isn’t about AI — it’s about who controls the semantics. In this episode, he calls out how proprietary BI tools quietly lock companies into their ecosystems, making data less open and less useful. David and Demetrios debate

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00:50:28

Building Claude Code: Origin, Story, Product...

Agentic Conversations (formally mlops.community) ·

2025/10/21

Building Claude Code: Origin, Story, Product Iterations, & What's Next // MLOps Podcast #342 with Siddharth Bidasaria, Member of Technical Staff at Anthropic.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractDemetrios Brinkmann talks with Siddharth Bidasaria about Anthropic’s Claude code — how it was built, key features like file tools and Spotify control, and the team’s lean, user-focused approach. They explore

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00:50:34

Building an Agenetic AI Memory Framework

Agentic Conversations (formally mlops.community) ·

2025/10/14

What if AI could actually remember like humans do?Biswaroop Bhattacharjee joins Demetrios Brinkmann to challenge how we think about memory in AI. From building Cortex—a system inspired by human cognition—to exploring whether AI should forget, this conversation questions the limits of agentic memory and how far we should go in mimicking the mind.Guest speaker: Biswaroop Bhattacharjee - Senior ML Engineer at Prem AIHost :Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️

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00:51:13

LLMs at Scale: Infrastructure That Keeps AI Safe,...

Agentic Conversations (formally mlops.community) ·

2025/10/07

LLMs at Scale: Infrastructure That Keeps AI Safe, Smart & Affordable // MLOps Podcast #341 with Marco Palladino, Kong's Co-Founder and CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWhile conversations around AI regulations continue to evolve, the responsibility for AI continues to be with developers. In this episode, Marco Palladino, CTO and co-founder of Kong Inc., explores what it means to build and scale AI

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00:09:08

Best AI Hackathon Project Ever? [Bit Size Episode]

Agentic Conversations (formally mlops.community) ·

2025/10/03

AI Conversations Powered by Prosus Group Unicorn Mafia won the recent hackathon at Raise Summit and explained to me what they built, including all the tech they used under the hood to make their AI agents work. Winners:Charlie Cheesman - Co-founder at 60x.aiMarissa Liu - Tech Lead, Reporting at WatershedAna Shevchenko - Software Engineer II at SpotifyFergus McKenzie-Wilson - Co-founder at 60x.aiAlex Choi - Founding Engineer at MedfinHost:Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~

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00:46:10

On-Device AI Agents in Production: Privacy,...

Agentic Conversations (formally mlops.community) ·

2025/09/30

On-Device AI Agents in Production: Privacy, Performance, and Scale // MLOps Podcast #340 with NimbleEdge's Varun Khare, Founder/CEO and Neeraj Poddar, Co-founder & CTO.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI agents are transitioning from experimental stages to performing real work in production; however, they have largely been limited to backend task automation. A critical frontier in this evolution is

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00:25:24

Are Evals Dead?

Agentic Conversations (formally mlops.community) ·

2025/09/26

AI Conversations Powered by Prosus Group Your AI agent isn’t failing because it’s dumb—it’s failing because you refuse to test it. Chiara Caratelli cuts through the hype to show why evaluations—not bigger models or fancier prompts—decide whether agents succeed in the real world. If you’re not stress-testing, simulating, and iterating on failures, you’re not building AI—you’re shipping experiments disguised as products.Guest speaker: Chiara Caratelli - Data Scientist @ Prosus GroupHost: Demetrios

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00:57:24

The DuckLake Lakehouse Format // Hannes Mühleisen //...

Agentic Conversations (formally mlops.community) ·

2025/09/19

The DuckLake Lakehouse Format // MLOps Podcast #339 with Hannes Mühleisen, Co-founder and CEO of DuckDB Labs.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractManaging data on Object Stores has been a painful affair. Users had to choose between data swamp chaos or a maze of metadata files with catalog servers on top. DuckLake is a new paradigm for managing data on object stores: First, it uses classical SQL data management

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00:32:34

How LiveKit Became An AI Company By Accident

Agentic Conversations (formally mlops.community) ·

2025/09/16

AI Conversations Powered by Prosus Group Russ d'Sa shares how LiveKit went from a small open-source project during the pandemic to powering voice interfaces for giants like OpenAI. He talks about the turning point when LiveKit teamed up on ChatGPT’s voice features, the challenges of making AI sound human, and why voice could be the future of multimodal AI. It’s a story of chance, big shifts, and building the backbone of tomorrow’s AI.Guest speakers: Russ Dsa - CEO of LiveKitHost: Demetrios

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00:45:59

Economics of Building Data Centers, GPU Clouds,...

Agentic Conversations (formally mlops.community) ·

2025/09/12

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

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00:59:22

Trust at Scale: Security and Governance for Open...

Agentic Conversations (formally mlops.community) ·

2025/09/09

Trust at Scale: Security and Governance for Open Source Models // MLOps Podcast #338 with Hudson Buzby, Solutions Architect at JFrog.Appreciate JFrog for their support in bringing this blog to life.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractFor better or for worse, machine learning has traditionally escaped the gaze of security and infrastructure teams, operating outside traditional DevOps practices and not always

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00:52:36

LLM Search, UI/UX challenges, Context Engineering and...

Agentic Conversations (formally mlops.community) ·

2025/09/05

AI Conversations Powered by Prosus Group Nishikant Dhanuka talks about what it really takes to make AI agents useful—especially in e-commerce and productivity. From making them smarter with context (like user history and real-time data) to mixing chat and UI for smoother interactions, he breaks down what’s working and what’s not. He also shares why evals matter, how to test with real users, and why AI only succeeds when it actually makes life easier, not more complicated.Guest speaker: Nishikant

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00:48:56

The Era of AI Agents in Marketing // Joel Horwitz //...

Agentic Conversations (formally mlops.community) ·

2025/09/01

The Era of AI Agents in Marketing // MLOps Podcast #337 with Joel Horwitz, Growth Engineer at Neoteric3D.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractWe’re entering a new era in marketing—one powered by AI agents, not just analysts. The rise of tools like Clay, Karrot.ai, 6sense, and Mutiny is reshaping how go-to-market (GTM) teams operate, making room for a new kind of operator: the GTM engineer. This hybrid role blends

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00:57:35

Distilling 200+ Hours of NeurIPS: What’s Next for AI...

Agentic Conversations (formally mlops.community) ·

2025/08/27

Distilling 200+ Hours of NeurIPS: What’s Next for AI // MLOps Podcast #336 with Nikolaos Vasiloglou, VP of Research ML at RelationalAI.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractNikolaos widely shared analysis on LinkedIn highlighted key insights across agentic AI, scaling laws, LLM development, and more. Now, he’s exploring how AI itself might be trained to automate this process in the future, offering a glimpse into

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00:49:48

Building Coding Agents: Design Decisions, Prompting...

Agentic Conversations (formally mlops.community) ·

2025/08/22

AI Conversations Powered by Prosus Group Demetrios chats with Beyang Liu about Sourcegraph’s AMP, exploring how AI coding agents are reshaping development—from IDEs to natural language commands—boosting productivity, cutting costs, and redefining how developers work with code.Guest speakers:Beyang Liu - CTO of SourcegraphHost:Demetrios Brinkmann - Founder of MLOps Community~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin

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00:32:50

A Candid Conversation with the CEO of Stack Overflow

Agentic Conversations (formally mlops.community) ·

2025/08/21

AI Conversations Powered by Prosus Group Stack Overflow is adapting to the AI era by licensing its trusted Q&A corpus, expanding into discussions and enterprise tools, and reinforcing its role as a reliable source as developer trust in AI output declines.Guest speaker:Prashanth Chandrashekar - CEO of Stack OverflowHost:Demetrios Brinkmann - Founder of MLOps Community2025 Developer Survey:

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00:55:14

Knowledge is Eventually Consistent // Devin Stein //...

Agentic Conversations (formally mlops.community) ·

2025/08/17

Knowledge is Eventually Consistent // MLOps Podcast #335 with Devin Stein, CEO of Dosu.Grateful to @Databricks and @hyperbolic-labs for supporting our podcast and helping us keep great conversations going.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI as a partner in building richer, more accessible written knowledge—so communities and teams can thrive, endure, and expand their reach.// BioDevin is the CEO and

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00:47:39

LinkedIn Recommender System Predictive ML vs LLMs

Agentic Conversations (formally mlops.community) ·

2025/08/12

Demetrios chats with Arpita Vats about how LLMs are shaking up recommender systems. Instead of relying on hand-crafted features and rigid user clusters, LLMs can read between the lines—spotting patterns in user behavior and content like a human would. They cover the perks (less manual setup, smarter insights) and the pain points (latency, high costs), plus how mixing models might be the sweet spot. From timing content perfectly to knowing when traditional methods still win, this episode pulls back

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00:55:46

GPU Considerations, Labeling Privacy, Rapid Fine...

Agentic Conversations (formally mlops.community) ·

2025/08/09

Agents in Production [Podcast Limited Series] Episode Nine – Training LLMs, Picking the Right Models, and GPU HeadachesPaul van der Boor and Zulkuf Genc from Prosus join Demetrios to talk about what it really takes to get AI agents running in production. From building solid eval sets to juggling GPU logistics and figuring out which models are worth using (and when), they share hard-won lessons from the front lines. If you're working with LLMs at scale—or thinking about it—this one’s for you.Guest

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