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A New Way of Building with AI

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Manage episode 493532985 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Thanks to MLflow for supporting this episode — the platform helping teams track, manage, and deploy ML and GenAI projects with ease. Try it free at mlflow.org.

What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.

// Bio

Jiquan Ngiam is the Co-Founder and CEO of Lutra AI, with deep expertise in artificial intelligence and machine learning. He was previously at Google Brain, Coursera, and in the Stanford CS Ph.D. program advised by Andrew Ng. He helped develop the first online courses in Machine Learning, and is now building agentic AI systems that can complete tasks for us.

// Related Links

https://www.youtube.com/@LutraAI

#api #llm #lutra #costefficiency #latentspace ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

MLOps Swag/Merch: [https://shop.mlops.community/]

Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Jiquan on LinkedIn: /jngiam/

Timestamps:

[00:00] Agents That Actually Do Work

[08:21] Building Tables With AI Help

[12:54] Guardrails for Smarter Code

[16:35 - 18:00] MLFlow Ad[18:30] What’s Next for MCP?

[23:23] AI as Your Data Conductor

[31:13] Rethinking AI + Data Stacks

[32:10] Sandbox Security, Real Risks

[40:48] Smarter Reviews, Powered by Use

[46:08] Cost vs. Quality in AI

[52:00] Podcast Editing Gets Creative

[56:27] Transparent UIs, Powered by AI

[01:00:28] Can AI Learn Good Taste?

[01:04:45] Peeking Into Wild AI Futures

  continue reading

450 episodes

Artwork

A New Way of Building with AI

MLOps.community

56 subscribers

published

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Manage episode 493532985 series 3241972
Content provided by Demetrios. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demetrios or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Thanks to MLflow for supporting this episode — the platform helping teams track, manage, and deploy ML and GenAI projects with ease. Try it free at mlflow.org.

What if AI could build and maintain your software—like a co-worker who never forgets state? In this episode, Jiquan Ngiam chats with Demetrios about agents that actually do the work: parsing emails, updating spreadsheets, and reshaping how we design software itself. Less hype, more hands-on AI—tune in for a glimpse at the future of truly personalized computing.

// Bio

Jiquan Ngiam is the Co-Founder and CEO of Lutra AI, with deep expertise in artificial intelligence and machine learning. He was previously at Google Brain, Coursera, and in the Stanford CS Ph.D. program advised by Andrew Ng. He helped develop the first online courses in Machine Learning, and is now building agentic AI systems that can complete tasks for us.

// Related Links

https://www.youtube.com/@LutraAI

#api #llm #lutra #costefficiency #latentspace ~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~

Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore

MLOps Swag/Merch: [https://shop.mlops.community/]

Connect with Demetrios on LinkedIn: /dpbrinkm

Connect with Jiquan on LinkedIn: /jngiam/

Timestamps:

[00:00] Agents That Actually Do Work

[08:21] Building Tables With AI Help

[12:54] Guardrails for Smarter Code

[16:35 - 18:00] MLFlow Ad[18:30] What’s Next for MCP?

[23:23] AI as Your Data Conductor

[31:13] Rethinking AI + Data Stacks

[32:10] Sandbox Security, Real Risks

[40:48] Smarter Reviews, Powered by Use

[46:08] Cost vs. Quality in AI

[52:00] Podcast Editing Gets Creative

[56:27] Transparent UIs, Powered by AI

[01:00:28] Can AI Learn Good Taste?

[01:04:45] Peeking Into Wild AI Futures

  continue reading

450 episodes

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