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  • JULY 24, 2025 / Google Labs

    Introducing Opal: describe, create, and share your AI mini-apps

    Opal is a new experimental tool from Google Labs that helps you compose prompts into dynamic, multi-step mini-apps using natural language, removing the need for code, allowing users to build and deploy shareable AI apps with powerful features and seamless integration with existing Google tools.

    Opal Metadata card
  • JULY 23, 2025 / Firebase

    Unleashing new AI capabilities for popular frameworks in Firebase Studio

    New AI capabilities for popular frameworks in Firebase Studio include AI-optimized templates, streamlined integration with Firebase backend services, and the ability to fork workspaces for experimentation and collaboration, making AI-assisted app development more intuitive and faster for developers worldwide.

    Unleashing new AI capabilities for popular frameworks in Firebase Studio
  • JULY 22, 2025 / Gemini

    Gemini 2.5 Flash-Lite is now stable and generally available

    Gemini 2.5 Flash-Lite, previously in preview, is now stable and generally available. This cost-efficient model is ~1.5x faster than 2.0 Flash-Lite and 2.0 Flash, offers high quality, and includes 2.5 family features like a 1 million-token context window and multimodality.

    Gemini 2.5 Flash is making it easy to build with the Gemini API in Google AI Studio
  • JULY 21, 2025 / Gemini

    Conversational image segmentation with Gemini 2.5

    Gemini's advanced capability for conversational image segmentation allows intuitive interaction with visual data by understanding complex phrases, conditional logic, and abstract concepts, streamlining developer experience and opening doors for new applications in media editing, safety monitoring, and damage assessment.

    Conversational image segmentation with Gemini 2.5
  • JULY 17, 2025 / Gemini

    Build with Veo 3, now available in the Gemini API

    Veo 3, Google’s latest AI video generation model, is now available in paid preview via the Gemini API and Google AI Studio. Unveiled at Google I/O 2025, Veo 3 can generate both video and synchronized audio, including dialogue, background sounds, and even animal noises. This model delivers realistic visuals, natural lighting, and physics, with accurate lip syncing and sound that matches on-screen action.

    Build with Veo 3, now available in the Gemini API and Google AI Studio
  • JULY 16, 2025 / Gemini

    Simplify your Agent "vibe building" flow with ADK and Gemini CLI

    The updated Agent Development Kit (ADK) simplifies and accelerates the process of building AI agents by providing the CLI with a deep, cost-effective understanding of the ADK framework, allowing developers to quickly ideate, generate, test, and improve functional agents through conversational prompts, eliminating friction and keeping them in a productive "flow" state.

    ADK + Gemini CLI: Supercharge Your Agent Building Vibe
  • JULY 14, 2025 / Gemini

    Gemini Embedding now generally available in the Gemini API

    The Gemini Embedding text model is now generally available in the Gemini API and Vertex AI. This versatile model has consistently ranked #1 on the MTEB Multilingual leaderboard since its experimental launch in March, supports over 100 languages, has a 2048 maximum input token length, and is priced at $0.15 per 1M input tokens.

    Gemini Embedding now generally available in the Gemini API
  • JULY 10, 2025 / Cloud

    Advancing agentic AI development with Firebase Studio

    Updates in Firebase Studio include new Agent modes, foundational support for the Model Context Protocol (MCP), and Gemini CLI integration, all designed to redefine AI-assisted development allow developers to create full-stack applications from a single prompt and integrate powerful AI capabilities directly into their workflow.

    Advancing agentic AI development with Firebase Studio
  • JULY 9, 2025 / Gemma

    T5Gemma: A new collection of encoder-decoder Gemma models

    T5Gemma is a new family of encoder-decoder LLMs developed by converting and adapting pretrained decoder-only models based on the Gemma 2 framework, offering superior performance and efficiency compared to its decoder-only counterparts, particularly for tasks requiring deep input understanding, like summarization and translation.

    T5Gemma: A New Collection of Encoder-Decoder Gemma Models
  • JULY 7, 2025 / Gemini

    Batch Mode in the Gemini API: Process more for less

    The new batch mode in the Gemini API is designed for high-throughput, non-latency-critical AI workloads, simplifying large jobs by handling scheduling and processing, and making tasks like data analysis, bulk content creation, and model evaluation more cost-effective and scalable, so developers can process large volumes of data efficiently.

    Scale your AI workloads with batch mode in the Gemini API