Build edge AI applications with Google tools using Hybrid LLMs. Ian Ballantyne shares how to combine the on-device capabilities of Gemma and cloud-based Gemini models for optimal performance and privacy. Resources: Try Gemma → https://goo.gle/try-gemma Gemma Cookbook → https://goo.gle/457WjAA Gemini API → https://goo.gle/45i4Px7 MediaPipe samples → https://goo.gle/3SHax46
Where can I get his T-shirt 👕
Interesting approach taken for routing. Very insightful.
Newly Announced Professor of Law, Attorney At Law / Law, Medicine, Technology, Deep Machine Learning and Agents, Full Stack Developer, Phyton. Java, HTML, SQL, Juniper Notebooks, PyTorch, and Multimodal Models.
1dAgain I'm reaching out to Google AI developers and I prefer it to any other platform of use the star despite that it comes along with my Google One. I'm about to teach a law school class entitled the policy regulation and STEM and part of this class will include a i and Jeep machine learning algorithms and data restricted environments. We will be happy to sign NDAs and have access to your privacy agreements etc as well as your data center cloud storage arrangements because those would be necessary to give you appropriate feedback. It's the intention to help you create a adequate solution for people who cannot use commercial models inside of their restricted environments and those people include some of the most potentially economically fruitful clients. How you could not respond to me when I'm offering you the opportunity to have a group of engineers, life scientists, doctors, and lawyers all working together in one space studying this problem is a little unbelievable and a little bit offensive.