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.
#MSDyn365BC #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/
YouTube:
https://www.youtube.com/channel/UCiC0ZMYcrfBCUIicN1DwbJQ
Website:
https://dynamicscorner.com
Our equipment:
Shure MV7 Mic (Black) - https://amzn.to/3x7aoMb
Shure MV7 Mic (Silver) - https://amzn.to/3PDVK7n
Mac Mini M1 - https://amzn.to/3QtyWqi
Disclaimer: This podcast episode may contain affiliate links, which means we may receive a small commission, at no cost to you, if you make a purchase through a link. This helps and support our podcast.
#msdyn365bc #BusinessCentral #BC #DynamicsCorner
Follow Kris and Brad for more content:
https://matalino.io/bio
https://bprendergast.bio.link/
YouTube:
https://www.youtube.com/channel/UCiC0ZMYcrfBCUIicN1DwbJQ
Website:
https://dynamicscorner.com
Our equipment:
Shure MV7 Mic (Black) - https://amzn.to/3x7aoMb
Shure MV7 Mic (Silver) - https://amzn.to/3PDVK7n
Mac Mini M1 - https://amzn.to/3QtyWqi
Disclaimer: This podcast episode may contain affiliate links, which means we may receive a small commission, at no cost to you, if you make a purchase through a link. This helps and support our podcast.
