Gemini Models in AI Studio
AI Summary
Summary of Video ‘Building AI Enabled Applications with Gemini’
Introduction
- Overview of building AI applications using Google AI Studio and Gemini.
Key Updates
- New UI and features in Google AI Studio.
- Introduction of Gemini experimental models and tools like Google Search.
- New capabilities like image editing and generation.
Example Project
- Project Idea: Kitchen remodel.
- Steps to Build the AI Application:
- Problem Identification: Use Gemini to define the kitchen renovation project.
- Detailed Prompt Creation: Gemini generates a comprehensive starter prompt, including dimensions, budget, and fixtures.
- Renovation Plan Development: Gemini analyzes different considerations (e.g., local costs and regulations) to create a practical plan.
- Visualization: Gemini generates a visual representation of the proposed kitchen remodel.
Insights and Features
- Reasoning Model: Gemini’s ability to gather information and suggest detailed renovations.
- Grounding with Google Search: Ensures the renovation plan is based on the latest data.
- Image Generation: Gemini creates visual designs based on user prompts.
Conclusion and Next Steps
- The prototype can be further developed into a full application using Google Cloud and Vertex AI.
- Encouragement for viewers to explore and build their projects using Gemini.