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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 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
  • JUNE 17, 2025 / Gemini

    Gemini 2.5: Updates to our family of thinking models

    Google is releasing updates to its Gemini 2.5 model family, including the generally available and stable Gemini 2.5 Pro and Flash, and the new Gemini 2.5 Flash-Lite "thinking models" in preview, offering enhanced performance and accuracy, with Flash-Lite providing a lower-cost option.

    Gemini 2.5: Updates to our family of thinking models
  • 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
  • MAY 7, 2025 / Gemini

    Create and edit images with Gemini 2.0 in preview

    Gemini 2.0 Flash's image generation capabilities, now available in preview in Google AI Studio and Vertex AI, feature higher rate limits, enhanced visual quality, more precise text rendering, and more, allowing developers to create applications for product recontextualization, collaborative image editing, and dynamic SKU generation.

    Generate images with Gemini 2.0 Flash in preview
  • APRIL 29, 2025 / Cloud

    Announcing the general availability of Llama 4 as MaaS on Vertex AI

    Llama 4, Meta's advanced large language model, is now generally available as a fully managed API on Vertex AI, simplifying deployment and management. The Llama 3.3 70B managed API is also generally available, offering users greater flexibility.

    Announcing the general availability of Llama 4 MaaS on Vertex AI
  • APRIL 9, 2025 / AI

    Agent Development Kit: Making it easy to build multi-agent applications

    The Agent Development Kit (ADK), an open-source framework from Google designed to simplify the development of multi-agent systems, providing tools for building, interacting, evaluating, and deploying agents.

    Agent Development Kit: Making it easy to build multi-agent applications
  • 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
  • APRIL 9, 2025 / Cloud

    Unlock your potential: Discover the enhanced Google Developer Program

    The Google Developer Program is evolving with AI-powered tools like Gemini Code Assist and expanded resources, including new Premium and Enterprise offerings, access to product previews, and increased workspace capacity, making it easier for developers to build and innovate.

    Google Developer Program evolves
  • MARCH 12, 2025 / Gemma

    Safer and Multimodal: Responsible AI with 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.

    SheildGemma2