Gemini 2.0 Deep Dive: Code Execution
This blog post introduces Gemini's code execution feature, which allows the AI model to generate and run Python code for tasks like solving equations, data analysis, and creating visualizations....
CalCam: Transforming Food Tracking with the Gemini API
CalCam, a calorie-tracking app, uses the Gemini API to analyze meal photos, providing users with fast and accurate nutritional information. Polyverse, CalCam's creator, highlights Gemini API's speed, ...
Data Science Agent in Colab: The future of data analysis with Gemini
The Data Science Agent in Google Colab, powered by Gemini, can now generate complete, working notebooks from simple natural language descriptions, so developers can automate data analysis tasks, savin...
Start building with Gemini 2.0 Flash and Flash-Lite
Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI. 2.0 Flash-Lite offers improved performance over 1.5...
Google AI Developers Community Spotlight Contest
The Google AI Developers Community Spotlight Contest is seeking innovative, diverse projects using Google's AI tools like Gemini and Gemma to create code repositories, videos, documentation, and more....
Build Scalable AI Agents: Langbase and the Gemini API
Langbase empowers developers to build and deploy powerful, scalable AI agents by leveraging the Google Gemini API, particularly Gemini 1.5 Flash, unlocking a new era of intelligent applications and st...
Beyond the Chatbot: Agentic AI with Gemma
A practical guide to constructing a Gemma 2-based Agentic AI system – a type of AI that can make its own decisions and use external tools to achieve goals – that can generate dynamic content for a...
Get ready for Google I/O May 20-21
Google I/O returns May 20-21. Watch the livestreams for updates on Android, AI, web, and cloud. Registration is open on the Google I/O website....
