{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e208723b422e42fda8b1ed36811b58bd\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e208723b422e42fda8b1ed36811b58bd-98e48637854ce61b.gif","duration":202.216,"title":"Exploring Tool Use in Browser AI: A Demo of On-Device Models 🚀","description":"In this video, I demonstrate the capabilities of Browser AI, a prototype that allows developers to connect to on-device models through a simple API in the window object. Using a cafe website as an example, I showcase how the AI can assist with actions like adding and removing items from a cart, filtering by categories, and searching for products. The model supporting this demo is Llama 3.2, a lightweight 3 billion parameter version, which enables secure and low-latency interactions. I encourage viewers to explore the potential of running models on users' devices for enhanced privacy and functionality. Please consider how these advancements could be applied in your own projects."}