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LLM Search, UI/UX challenges, Context Engineering and the 80/20 of Eval
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 …
Published on 5 hours ago
The Era of AI Agents in Marketing // Joel Horwitz // #337
The Era of AI Agents in Marketing // MLOps Podcast #337 with Joel Horwitz, Growth Engineer at Neoteric3D.
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Published on 4 days, 4 hours ago
Distilling 200+ Hours of NeurIPS: What’s Next for AI // Nikolaos Vasiloglou // #336
Distilling 200+ Hours of NeurIPS: What’s Next for AI // MLOps Podcast #336 with Nikolaos Vasiloglou, VP of Research ML at RelationalAI.
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Published on 1 week, 2 days ago
Building Coding Agents: Design Decisions, Prompting Tricks, GUI Anti-patterns
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—boos…
Published on 2 weeks ago
A Candid Conversation with the CEO of Stack Overflow
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 …
Published on 2 weeks, 1 day ago
Knowledge is Eventually Consistent // Devin Stein // #335
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 conversati…
Published on 2 weeks, 5 days ago
LinkedIn Recommender System Predictive ML vs LLMs
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 patte…
Published on 3 weeks, 3 days ago
GPU Considerations, Labeling Privacy, Rapid Fine Tuning, and the Role of Private Eval Pipelines to Benchmark New Models
Agents in Production [Podcast Limited Series] Episode Nine – Training LLMs, Picking the Right Models, and GPU Headaches
Paul van der Boor and Zulkuf Genc from Prosus join Demetrios to talk about what …
Published on 3 weeks, 6 days ago
The Hidden Bottlenecks Slowing Down AI Agents
Demetrios chats with Paul van der Boor and Bruce Martens from Prosus about the real bottlenecks in AI agent development—not tools, but evaluation and feedback. They unpack when to build vs. buy, the …
Published on 1 month ago
9 Commandments for Building AI Agents
Building AI agents that actually get things done is harder than it looks. Demetrios, Paul, and Dmitri break down what makes agents effective—from smart planning and memory to treating tools, systems,…
Published on 1 month ago