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  • JULY 30, 2025 / Gemini

    Introducing LangExtract: A Gemini powered information extraction library

    LangExtract is a new open-source Python library powered by Gemini models for extracting structured information from unstructured text, offering precise source grounding, reliable structured outputs using controlled generation, optimized long-context extraction, interactive visualization, and flexible LLM backend support.

    LangExtract_meta
  • 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 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 16, 2025 / AI

    Unlock Gemini’s reasoning: A step-by-step guide to logprobs on Vertex AI

    The `logprobs` feature has been officially introduced in the Gemini API on Vertex AI, provides insight into the model's decision-making by showing probability scores for chosen and alternative tokens. This step-by-step guide will walk you through how to enable and interpret this feature and apply it to powerful use cases such as confident classification, dynamic autocomplete, and quantitative RAG evaluation.

    logprobs_meta
  • 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
  • JUNE 25, 2025 / Gemini

    Simulating a neural operating system with Gemini 2.5 Flash-Lite

    A research prototype simulating a neural operating system generates UI in real-time adapting to user interactions with Gemini 2.5 Flash-Lite, using interaction tracing for contextual awareness, streaming the UI for responsiveness, and achieving statefulness with an in-memory UI graph.

    Behind the prototype: Simulating a neural operating system with Gemini
  • JUNE 10, 2025 / Pay

    Google Pay inside sandboxed iframe for PCI DSS v4 compliance

    Use a sandboxed iframe to implement Google Pay on checkout pages, which helps comply with PCI DSS v4 requirements by isolating scripts. Shopify successfully implemented this method and passed the PCI DSS v4 audit.

    Google Pay inside sandboxed iframe for PCI DSS v4 compliance
  • MAY 20, 2025 / Gemini

    Building agents with Google Gemini and open source frameworks

    Google Gemini models offer several advantages when building AI agents, such as advanced reasoning, function calling, multimodality, and large context window capabilities. Open-source frameworks like LangGraph, CrewAI, LlamaIndex, and Composio can be used with Gemini for agent development.

    Building agents with Google Gemini and open source frameworks
  • MAY 9, 2025 / Cloud

    Google AI for game developers

    Revisit announcements from this year's Games Developer Conference (GDC). Explore how Gemma and Gemini models can aid in building AI experiences in games with the launch of Gemma 3, the Unity plugin, its application in a sample game, and scaling games with generative AI in Google Cloud.

    Google AI for Game Developers
  • APRIL 30, 2025 / Gemma

    Gemma explained: What’s new in Gemma 3

    Gemma 3's new features include vision-language capabilities and architectural changes for improved memory efficiency and longer context handling compared to previous Gemma models.

    What's new in Gemma-3