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State Space Models for Realtime Multimodal Intelligence

AI Engineer via YouTube

Overview

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Explore the cutting-edge breakthroughs needed to bring realtime multimodal intelligence to every device through this 14-minute conference talk from the AI Engineer World's Fair. Discover how state space models are revolutionizing the field by enabling the development of audio models that are cheaper, faster, and higher quality than current state-of-the-art approaches. Learn about the innovative technology stack being developed at Cartesia that makes realtime models possible across various devices. Gain insights into the research and development process behind these groundbreaking state space models that emerged from years of work at Stanford. Understand the practical applications and implications of this technology for the future of multimodal AI systems. The presentation covers the technical foundations, real-world implementation challenges, and the potential impact of these advances on making sophisticated AI capabilities accessible on any device.

Syllabus

State Space Models for Realtime Multimodal Intelligence: Karan Goel

Taught by

AI Engineer

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