State-of-the-art text embedding via the Gemini API
A new experimental Gemini Embedding text model, now available in the Gemini API, achieves top rankings on the Massive Text Embedding Benchmark (MTEB) leaderboard and offers expanded language support and high-dimensional embeddings.
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, accuracy, and structured JSON output are crucial for...
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 Flash across reasoning, multimodal, math and factua...
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 streamlined workflows.
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 fictional game world.
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.
Imagen 3 arrives in the Gemini API
Imagen 3 – now available in Google AI Studio and the Gemini API – offers developers state-of-the-art image generation with brighter, better-composed images in diverse styles, and simplified image generation through text prompts.
Gemini 2.0: Flash, Flash-Lite and Pro
The Gemini 2.0 model family is seeing significant updates, including the release of Gemini 2.0 Flash, which is now production-ready and boasts higher rate limits, enhanced performance, and simplified pricing. Developers can also start testing an update...
Unlocking the Potential of Quantum Computing
A free Coursera course on quantum error correction, developed by Google Quantum AI, explains the importance of error correction in quantum computing and provides an overview of quantum errors.
Vertex AI RAG Engine: A developers tool
Vertex AI RAG Engine, a managed orchestration service, streamlines the process of retrieving and feeding relevant information to Large Language Models. This enables developers to build robust, grounded generative AI apps that ensure responses are factu...
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.
Building a better smart home
The public beta launch of Home APIs for Android allows developers to create better smart home experiences. This launch emphasizes investments in Matter to improve device connectivity and interoperability, and increase smart home accessibility.
Build the future of home with Google Home APIs
The Google Home APIs are now in public developer beta for Android, allowing developers to build innovative smart home experiences for over 600M devices using Google's hubs, Matter infrastructure, and automation engine.
Celebrating innovation: Gemini API Developer Competition
Explore innovative projects from the Gemini API Competition, like Omni, EcoTrack, ITMZ, Jana AI, Eagle AI, and AlphaFit, demonstrating the potential of the Gemini API to enhance productivity, promote sustainability, and improve well-being.
