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The latest Large Language Models (LLMs) offer staggering multi-modal capabilities. And while they are typically much too massive to run locally on small devices, new functionality in Edge Impulse provides a novel solution to utilize the power of an LLM on an edge device.
In this webinar, join Edge Impulse’s CTO and co-founder, Jan Jongboom, to explore innovations in leveraging LLMs for ultra-compact edge AI models. Discover how to harness the powerful capabilities of LLMs to automatically analyze and label visual data and how to apply the LLM’s specific understanding of what's in frame without needing someone to manually input any labels. Efficiently create deployable object detection models that are 2,000,000x smaller, and can run seamlessly on any edge device.
Register for the webinar to:
Jan Jongboom is an embedded engineer and machine learning advocate, always looking for ways to gather more intelligence from the real world. He has shipped devices, worked on the latest network tech, simulated microcontrollers and there's a monument in San Francisco with his name on it. Currently he serves as the cofounder and CTO of Edge Impulse, the leading development platform for embedded machine learning with 140,000+ projects.
The latest Large Language Models (LLMs) offer staggering multi-modal capabilities. And while they are typically much too massive to run locally on small devices, new functionality in Edge Impulse provides a novel solution to utilize the power of an LLM on an edge device.
In this webinar, join Edge Impulse’s CTO and co-founder, Jan Jongboom, to explore innovations in leveraging LLMs for ultra-compact edge AI models. Discover how to harness the powerful capabilities of LLMs to automatically analyze and label visual data and how to apply the LLM’s specific understanding of what's in frame without needing someone to manually input any labels. Efficiently create deployable object detection models that are 2,000,000x smaller, and can run seamlessly on any edge device.
Register for the webinar to:
Jan Jongboom is an embedded engineer and machine learning advocate, always looking for ways to gather more intelligence from the real world. He has shipped devices, worked on the latest network tech, simulated microcontrollers and there's a monument in San Francisco with his name on it. Currently he serves as the cofounder and CTO of Edge Impulse, the leading development platform for embedded machine learning with 140,000+ projects.
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