Gemini and Firebase AI logic recently added Google Maps grounding. Instead of relying on expensive RAG (Retrieval-Augmented Generation) server pipelines, you can now connect Gemini directly to real-time, real-world Google Maps data. Join Nohe as he shares how to add Google Maps Grounding to Gemini queries to get better results.
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In this deep dive, Nohe explores how to implement the hybrid SDK for Firebase AI Logic on Android. One of the biggest headaches in mobile AI is deciding between a cloud model (reliable but costly) and an on-device model (fast but fragmented). Now, you don't have to choose. With Hybrid Inference, your app can prefer the local model already managed by Android’s AICore and seamlessly fall back to Gemini 3.1 Flash in the cloud if the device isn't compatible.
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Tired of generic chatbots? Discover how Firebase AI Logic lets you build unique, streamed conversational AI experiences with Gemini's native audio models! From practicing presentations with AI feedback to building custom voice assistants, the possibilities are endless. This video dives deep into Firebase AI Logic, showcasing how you can create immersive audio interactions within your apps. Learn how to leverage Gemini's native audio models to provide a unique vocal experience, keeping your API keys secure while offering features like custom personas, real-time feedback via tool calls, and diverse voice selections. We'll walk through a practical demo of building an AI assistant that helps practice public speaking, complete with live metrics and a distinct AI personality.
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