Unlocking Potential: Practical Applications of Google's New Agents from I/O

Post by Michael Rosario of InnovativeTeams.NET
Google AI | Google AI
Google AI is developing advanced AI for everyone. Google is creating AI technologies that solve real-world problems and build a more inclusive future. This includes breakthroughs in areas like natural language processing, computer vision, and machine learning. Explore research, tools, and resources to learn more about Google’s work in artificial intelligence.
Make sure to checkout the fun and helpful app templates Google AI Studio Templates
Stitch: Google’s AI-powered platform for creating and managing apps
Stitch is a new experiment from Google Labs that allows you to turn simple prompt and image inputs into complex UI designs and frontend code in minutes.
Get started with Gemini
This Jupyter notebook provides a quick start guide to using Google’s Gemini family of models. It demonstrates basic interactions and capabilities, allowing users to quickly get a feel for the model’s functionality. The notebook covers various tasks such as text generation, multi-modal features, question answering, and code generation, showcasing Gemini’s versatility.
Your First Agent with the Agent Developer Kit
This codelab guides you through building your first conversational agent using the Agent Developer Kit (ADK). You’ll learn how to create an agent that responds to user input and provides helpful information. The codelab covers setting up your development environment, designing conversational flows, and implementing agent logic. By the end, you’ll have a basic conversational agent ready to test.
Vertex AI Generative AI Agent Development Kit Quickstart | Vertex AI Documentation | Google Cloud
The Vertex AI Generative AI Agent Development Kit enables developers to build and deploy agents that interact with the real world using Large Language Models (LLMs). This quickstart guide demonstrates building a simple agent that interacts with a calculator. The agent uses the LLM to understand user requests, formulates actions, and gets feedback based on execution results. This process involves utilizing the Agent’s API and showcases the framework’s capabilities.
Introduction to Firebase Studio
Firebase Studio is a visual interface for building and managing Firebase projects. It simplifies common tasks like adding authentication, setting up databases, and configuring cloud functions. The tool offers a streamlined workflow, accelerating the development process and reducing the need for complex code. This makes Firebase Studio ideal for both beginners and experienced developers.
Building AI agents with Vertex AI
This codelab guides you through building AI agents using Google’s Vertex AI platform. You’ll learn to create agents that can interact with their environment and perform tasks autonomously. The codelab covers key concepts and provides hands-on experience with the tools and technologies involved. By the end, you’ll have a functional AI agent and a solid understanding of agent development on Vertex AI.