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Episode 410: 🧠🧐 Local LLMs: Open-Source AI meets Business Central 🧐🧠

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Manage episode 470808138 series 3365982
Content provided by Brad and Kris. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brad and Kris 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.

1️⃣ In this insightful episode, the conversation explores the growing world of open-source large language models (LLMs) and their transformative potential when deployed locally.
2️⃣ Guest Stefano Demiliani joins Kris Ruyeras and Brad Prendergast to break down the technical challenges and rewards of running models like DeepSeek on local hardware, from navigating hefty resource demands to leveraging techniques like quantization and distillation for efficiency.
3️⃣ The discussion dives into practical business applications—inventory management, autonomous AI agents, forecasting, and even image recognition—all powered by offline models to prioritize data security and cost control.
4️⃣ Listeners will discover how integrating these customizable, secure solutions with tools like Microsoft Dynamics 365 Business Central can streamline operations and unlock new efficiencies. From setup essentials to the collaborative future of AI agents, this episode offers a clear-eyed look at how local AI is reshaping business innovation with privacy, precision, and purpose.

Send us a text

#MSDyn365BC #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/

  continue reading

Chapters

1. Episode 410: 🧠🧐 Local LLMs: Open-Source AI meets Business Central 🧐🧠 (00:00:00)

2. Welcome to Dynamics Corner (00:00:24)

3. Introducing Local LLMs (00:04:05)

4. Meet Your Hosts: Chris and Brad (00:11:14)

5. The Benefits of Running LLMs Locally (00:27:53)

6. AI Applications with Stefano D'Amelio (00:48:20)

7. Future of Local AI Models (01:52:55)

8. How Local Models Improve Security (06:40:58)

9. Real (21:43:09)

150 episodes

Artwork
iconShare
 
Manage episode 470808138 series 3365982
Content provided by Brad and Kris. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Brad and Kris 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.

1️⃣ In this insightful episode, the conversation explores the growing world of open-source large language models (LLMs) and their transformative potential when deployed locally.
2️⃣ Guest Stefano Demiliani joins Kris Ruyeras and Brad Prendergast to break down the technical challenges and rewards of running models like DeepSeek on local hardware, from navigating hefty resource demands to leveraging techniques like quantization and distillation for efficiency.
3️⃣ The discussion dives into practical business applications—inventory management, autonomous AI agents, forecasting, and even image recognition—all powered by offline models to prioritize data security and cost control.
4️⃣ Listeners will discover how integrating these customizable, secure solutions with tools like Microsoft Dynamics 365 Business Central can streamline operations and unlock new efficiencies. From setup essentials to the collaborative future of AI agents, this episode offers a clear-eyed look at how local AI is reshaping business innovation with privacy, precision, and purpose.

Send us a text

#MSDyn365BC #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/

  continue reading

Chapters

1. Episode 410: 🧠🧐 Local LLMs: Open-Source AI meets Business Central 🧐🧠 (00:00:00)

2. Welcome to Dynamics Corner (00:00:24)

3. Introducing Local LLMs (00:04:05)

4. Meet Your Hosts: Chris and Brad (00:11:14)

5. The Benefits of Running LLMs Locally (00:27:53)

6. AI Applications with Stefano D'Amelio (00:48:20)

7. Future of Local AI Models (01:52:55)

8. How Local Models Improve Security (06:40:58)

9. Real (21:43:09)

150 episodes

All episodes

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