In this episode of the Arm Viewpoints podcast, host Brian Fuller speaks with Julien Simon, Chief Evangelist at Arcee AI, about the evolution of small language models and the significance of CPU-based AI inference. They discuss Arcee AI's journey, the advantages of small models over large ones, the importance of inference, and the innovative techniques like quantization that enable efficient performance. Julian emphasizes the need for businesses to focus on cost performance and the future of AI as a collection of microservices that can be tailored to specific needs.

Arm Viewpoints: Small language models, big ambitions

Arm technology is at the heart of a computing and data revolution that is transforming the way people live and businesses operate. Our energy-efficient processor designs and software platforms have enabled advanced computing in more than 215 billion chips and our technologies securely power products from the sensor to the smartphone and the supercomputer. Together with 1,000+ technology partners we are at the forefront of designing, securing and managing all areas of AI-enhanced connected compute from the chip to the cloud.

New tracks tagged #quantization,