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  • MAY 13, 2025

    Build and train a recommender system in 10 minutes using Keras and JAX

    Keras Recommenders (KerasRS) is a new library announced to help developers build recommendation systems using APIs with building blocks for ranking and retrieval, and it can be installed via pip with support for JAX, TensorFlow, or PyTorch backends.

    Build and train a Recommender System in 10 minutes using Keras and JAX
  • MAY 12, 2025 / Cloud

    Google Cloud announces general availability of APIM Operator for Apigee

    The Apigee APIM Operator is now generally available, bringing API Management and Gateway capabilities to GKE environments using Kubernetes-like YAML configuration, providing developer-native tooling, reducing friction, and offering policy management comparable to Apigee Hybrid.

    Apigee-API-Hub-Feature
  • 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 9, 2025 / DeepMind

    Advancing the frontier of video understanding with Gemini 2.5

    Gemini 2.5 marks a major leap in video understanding, achieving state-of-the-art performance on key video understanding benchmarks and being able to seamlessly use audio-visual information with code and other data formats.

    2.5Pro_Metadata_VideoUnderstanding
  • MAY 8, 2025 / Gemini

    Gemini 2.5 Models now support implicit caching

    The rollout of implicit caching in the Gemini API expands on the existing explicit caching API, providing an "always on" caching system which offers automatic cost savings to developers using Gemini 2.5 models and continued availability of the explicit caching API for guaranteed savings.

    Gemini 2.5 Models now support Implicit Caching
  • 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
  • MAY 6, 2025 / Gemini

    Gemini 2.5 Pro Preview: even better coding performance

    An updated I/O edition preview of Gemini 2.5 Pro is being released for developers, featuring best-in-class front-end and UI development performance, ranking #1 on the WebDev Arena leaderboard, and showcasing applications like video to code and easier feature development through starter apps.

    Gemini 2.5 Pro (I/O Edition): even better coding performance
  • 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 / Cloud

    Announcing the general availability of Llama 4 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 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