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  • 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
  • APRIL 29, 2025 / Gemini

    How It’s Made: Little Language Lessons uses Gemini’s multilingual capabilities to personalize language learning

    Little Language Lessons, a project leveraging Gemini's API and Cloud services to generate content, translate, and provide text-to-speech functionalities, includes vocabulary lessons, slang practice, and object recognition for language learning.

    How it's made: Little Language Lessons
  • APRIL 23, 2025 / Gemini

    Achieve real-time interaction: Build with the Live API

    Explore real world applications for the Live API for Gemini models, now updated to include enhanced features for real-time audio, video, and text processing, improved session management, control over interactions, and richer output options.

    gemini-live-api-meta
  • APRIL 9, 2025 / Gemini

    Gemini 2.5 Flash and Pro, Live API, and Veo 2 in the Gemini API

    Updates to the Gemini API, including the production readiness of Veo 2 for video generation, the preview of the Live API for real-time interactions, and the upcoming Gemini 2.5 Flash model, alongside the existing Gemini 2.5 Pro aim to enhance developer capabilities in building AI applications with improved thinking models, dynamic interactions, and high-quality video generation.

    Gemini-2.5-meta