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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Learn how the Developer Knowledge MCP server provides authoritative, up-to-date Google technical documentation (including Firebase, Android, and Google Cloud) to LLMs, ensuring your AI agents don't rely on outdated information for new features.
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Are your users staring at a frozen screen while your massive LLM processes a prompt? In AI UX, a frozen screen means a broken app. Today, we are fixing that by turning your AI's "black box" into a "glass box" using Operational Transparency. In this video, I’ll show you how to eliminate AI wait anxiety by streaming the model's internal "thoughts" directly to your UI in real-time. Drawing on real-world transit psychology from the London Bus system, we dive into the code to show you exactly how to intercept LLM thought signatures using Firebase AI Logic and the Gemini API. Keep your users engaged, build system credibility, and drastically improve your app's user experience.
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Learn how to improve your AI outputs to a more reliable output through continuous improvement.
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I used AI to rebuild my blog into something better. Come along as I show you how I show you why and how I did it.
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Nohe breaks down how he built a "Campaign Agent" for Dungeons & Dragons/Pathfinder. This system uses a loop of specialized agents to help manage game sessions.
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The Firebase Extension for Gemini CLI brings AI capabilities directly into your development environment! This video walks you through practical examples of using the Gemini CLI to configure Firebase services and deploy your applications efficiently.
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Integrate the Gemini API with Firebase to add generative AI capabilities to your apps using Firebase Extensions.
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