280 results
MAR 12, 2025 / Gemma
ShieldGemma 2, built on Gemma 3, is a 4 billion parameter model that can be used as an input filter for vision language models or an output filter for image generation systems, and is designed to respond to a wide range of diverse and nuanced imagery.
MAR 12, 2025 / Gemma
Gemma 3 1B, a new small language model for mobile and web applications via Google AI Edge, is now available, with increased efficiency, improved performance, and offline availability.
MAR 12, 2025 / Gemini
The experimental native image generation feature of Gemini 2.0 Flash – allowing for the combination of text and images, conversational image editing, and leveraging real-world knowledge for contextual visuals – is now available for developers to test through Google AI Studio and the Gemini API.
MAR 11, 2025 / Cloud
An enhancement to Google Cloud Dataflow templates for MongoDB Atlas enables direct integration of JSON data into BigQuery, eliminating complex data transformations, reducing operational costs, and enhancing query performance for users.
MAR 10, 2025 / Cloud
Google Cloud Next 2025, happening April 9-11 in Las Vegas, will feature expanded developer content, interactive experiences, and opportunities to connect with peers and Google experts.
MAR 07, 2025 / Gemini
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.
MAR 06, 2025 / Gemini
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.
MAR 05, 2025 / Gemini
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 CalCam's seamless user experience and efficient development, allowing for easy integration and detailed food analysis.
MAR 03, 2025 / 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, saving time to focus on deriving insights.
FEB 25, 2025 / Gemini
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 factuality benchmarks. For projects that require long context windows, 2.0 Flash-Lite is an even more cost-effective solution, with simplified pricing for prompts more than 128K tokens.
