Enhancing AI with Edge Computing: A Leap Towards Affordable Performance

Originally aired:

About the Session

Join this talk to learn about the transformative synergy of edge computing and Generative AI, specifically focusing on Large Language Models (LLMs). It addresses the constraints faced by conventional LLM deployments, including slow processing speeds, high operational costs, and privacy concerns. By integrating edge computing, this session highlights how Generative AI can achieve unprecedented processing speeds, improve efficiency, ensure enhanced privacy, and deliver real-time responses using cost-effective edge servers. This fusion not only boosts the capabilities of AI technologies but also opens up new, affordable avenues for their application across various industries. Attendees will gain insights into the practical applications of this integration, showcasing how it can drive innovation and accessibility in AI development.

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Scott Davis

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Web Architect & Principal Engineer, Scott Davis

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