Build generative AI agents with Vertex AI Agent Builder and Flutter


Summary

The video delves into the journey of developing an AI-powered Flutter app showcasing the Gemini family of models, specifically the Gemini 1.5 Pro model with its key features. It demonstrates practical use cases ranging from summarizing videos to answering questions based on multimedia inputs using the Gemini model and Vertex AI. The discussion covers the integration of AI agents with Flutter to provide users with a seamless experience, including responsive design and adaptive functionality to optimize usability across different devices.


Introduction to the Project

Introduction of the project by the speaker, sharing personal experiences with photography and the inspiration behind building an app to dive deeper into photos.

Habit of Taking Photos

Discussion about the habit of taking photos, going through them, editing, and learning more about the captured locations.

Building an AI-Powered Flutter App

Explanation of the journey of building an AI-powered Flutter app that provides insights about photos using a Gen AI agent.

App Functionalities

Demonstration and explanation of the app functionalities like identifying subjects in photos, interacting with the AI agent for more information, and identifying products.

Talk Structure

Overview of the talk structure, including building a prompt for the Gemini API, integrating with Flutter using Vertex AI for Firebase, AI agents, and making the app adaptive across platforms.

Introduction to Gemini Models

Introduction to the Gemini family of models, highlighting key features and capabilities like providing context understanding and supporting multimodal inputs.

Gemini 1.5 Pro Features

Explanation of features of the Gemini 1.5 Pro model, including the mixture of expert architecture, support for a large context window, and multimodal understanding.

Use Cases of Gemini Models

Discussion on various use cases of Gemini models, such as summarizing videos, analyzing programming code, and answering questions based on multimedia inputs.

Using Gemini Model in Practice

Demonstration of using the Gemini model in practice, including building prompts, requesting information, and obtaining responses in JSON format.

Building AI Agents with Vertex AI Agent Builder

Explanation of building AI agents using Vertex AI Agent Builder, incorporating tools like reasoning engine and search engines for external data sources.

RAG Techniques

Explanation of Retrieval Augmented Generation (RAG) techniques, involving connecting LM models with external data sets to enhance information retrieval capabilities.

AI Agent Development

Discussion on the evolution of AI agent development, including the deployment of agents with reasoning and orchestration capabilities for user-related tasks.

Integrating AI Agent with Flutter

Details on integrating the AI agent with Flutter using a chat interface, allowing users to interact with the agent to get more information about photos.

Building a Flutter App

Insights into building a Flutter app with features like a quick ID function, integrating with Gemini API, and optimizing the app for various platforms.

Responsive Design in Flutter

Explanation of responsive design in Flutter, including adapting the app layout based on screen size and device capabilities for optimal user experience.

Adaptive Functionality in Flutter

Details on adaptive functionality in Flutter, such as changing app features based on device policies and capabilities to enhance usability across different devices.

Device-Specific Considerations

Discussion on device-specific considerations like platform detection, capability check, and defining policies for app functionalities based on device configurations.

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