Generative AI models, such as ChatGPT and Stable Diffusion, can create new and original content like text, images, video, audio, or other data from simple prompts, as well as handle complex dialogs and reason about problems with or without images. These models are disrupting traditional technologies, from search and content creation to automation and problem solving, and are fundamentally shaping the future user interface to computing devices. Generative AI can apply broadly across industries, providing significant enhancements for utility, productivity, and entertainment. As generative AI adoption grows at record-setting speeds and computing demands increase, on-device and hybrid processing are more important than ever. Just like traditional computing evolved from mainframes to today’s mix of cloud and edge devices, AI processing will be distributed between them for AI to scale and reach its full potential.
In this webinar, you’ll learn about:
• Why on-device AI is key
• Full-stack AI optimizations to make on-device AI possible and efficient
• Advanced techniques like quantization, distillation, and speculative decoding
• How generative AI models can be run on device and examples of some running now
• Qualcomm Technologies’ role in scaling on-device generative AI
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Негізгі бет Ғылым және технология Webinar: Generative AI at the edge
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