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Edge-Based Generative AI for IoT Applications
In this exclusive webinar, we dive deep into the exciting world of generative AI for Internet of Things (IoT) applications, focusing on how to fine-tune advanced AI models for Vision-Informed Text (VIT). This innovative approach merges visual data with natural language generation to enable real-time, smarter IoT systems.
We also demonstrate how NVIDIA's Jetson Orin platform-designed for edge AI-helps optimize these generative AI models, enabling fast, low-latency processing at the edge for IoT applications. Learn how to use AI-driven insights to autonomously generate content, reports, alerts, and other forms of textual data from real-time visual inputs, empowering IoT devices to make faster, more accurate decisions.
Key Topics Covered:
Fine-tuning Generative AI for Vision-Informed Text (VIT)
Optimizing Generative AI Models for Edge Deployment with Jetson Orin
Real-Time Content Generation for IoT Systems
Seamless Integration of AI with IoT Infrastructure
Who Should Watch?
IoT Engineers & Architects
AI & Machine Learning Developers
Data Scientists & Researchers
Innovators and Developers interested in leveraging Jetson Orin for advanced AI applications
Presenter:
Yassine Hariri, PhD
Senior Staff Scientist, AI/ML at CMC Microsystems
Dr. Hariri brings over 15 years of experience in AI, machine learning, computer vision, and edge computing.
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