2024-11-23 –, Kit-Kat
Generative AI is no longer limited to execution in the cloud. Small language models, such as Gemma 2B, are quickly becoming small and powerful enough for on-device AI, offering benefits like low latency, offline functionality, privacy, and cost-effectiveness. Google AI Edge, with MediaPipe and LiteRT (formerly Tensorflow Lite), enables the development and deployment of efficient on-device AI models. These frameworks handle the complexities of model execution and hardware acceleration, allowing developers to focus on creating innovative AI experiences.
Think generative AI is just about chatbots? Think again. This talk will go beyond basic conversations with language models and explore how on-device generative AI can be integrated into everyday apps ready to help with tasks, answer questions, and provide creative inspiration, all powered by the information located on-device. Imagine truly useful apps that are quick to respond and still work without an internet connection.
Ian is a Developer Relations Engineer for AI at Google. Currently he works on generative AI, such as Gemini and Gemma. He is passionate about on-device AI, using technologies such as Google AI Edge to deploy artificial intelligence to web and mobile devices. He has been in Developer Relations at Google for 9 years specializing in helping partners and developers unlock the capability of Google technology.