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  • MAR 03, 2025 / Gemini

    Data Science Agent in Colab: The future of data analysis with Gemini

    The Data Science Agent in Google Colab, powered by Gemini, can now generate complete, working notebooks from simple natural language descriptions, so developers can automate data analysis tasks, saving time to focus on deriving insights.

    Colab-Gemini-Data-meta-alt
  • FEB 25, 2025 / Gemini

    Start building with Gemini 2.0 Flash and Flash-Lite

    Gemini 2.0 Flash-Lite is now generally available in the Gemini API for production use in Google AI Studio and for enterprise customers on Vertex AI. 2.0 Flash-Lite offers improved performance over 1.5 Flash across reasoning, multimodal, math and factuality benchmarks. For projects that require long context windows, 2.0 Flash-Lite is an even more cost-effective solution, with simplified pricing for prompts more than 128K tokens.

    Flash Family
  • FEB 13, 2025 / Gemma

    Beyond the Chatbot: Agentic AI with Gemma

    A practical guide to constructing a Gemma 2-based Agentic AI system – a type of AI that can make its own decisions and use external tools to achieve goals – that can generate dynamic content for a fictional game world.

    Gemma-Logo-Agentic-AI
  • FEB 05, 2025 / Gemini

    Gemini 2.0: Flash, Flash-Lite and Pro

    The Gemini 2.0 model family is seeing significant updates, including the release of Gemini 2.0 Flash, which is now production-ready and boasts higher rate limits, enhanced performance, and simplified pricing. Developers can also start testing an updated experimental version of Gemini 2.0 Pro today. Additionally, a new variant called Gemini 2.0 Flash-Lite, specifically designed for large-scale workloads, will be made available next week.

    Gemini 2.0 family expands for developers: Flash, Flash Lite and Pro
  • DEC 23, 2024 / AI

    See the Similarity: Personalizing Visual Search with Multimodal Embeddings

    Learn how to build a visual search tool using Google's Multimodal Embeddings API and explore how to apply this technology for searching images, slides, and more.

    Multimodal-Embeddings-Creative-Lab-Feature
  • NOV 13, 2024 / Gemma

    Inference with Gemma using Dataflow and vLLM

    vLLM's continuous batching and Dataflow's model manager optimizes LLM serving and simplifies the deployment process, delivering a powerful combination for developers to build high-performance LLM inference pipelines more efficiently.

    Gemma-Dataflow-ML-vLLM
  • NOV 11, 2024 / Chrome Web

    Web AI Summit 2024 Recap: Client-Side AI for Developers

    The first Web AI Summit, hosted by Google on October 18, 2024, brought together experts in machine learning models for web browsers.

    Web AI Summit 2024
  • NOV 08, 2024 / Gemini

    Gemini is now accessible from the OpenAI Library

    Developers can now access and build with the latest Gemini models through the OpenAI Library and REST API. Update your code with three lines and get started.

    Gemini-Social-2
  • MAR 13, 2024 / AI

    GDE Women’s History Month Feature: Gema Parreño Piqueras, AI/ML GDE

    For Women's History Month, we're shining a spotlight on Gema Parreño Piqueras, an AI/ML Google Developer Expert (GDE) from Madrid, Spain.

    Google Developer Experts Women's History Month feature profile - Gema Parreño Piqueras, AI/ML GDE
  • JAN 16, 2024 / AI

    YouTube Ads Creative Analysis

    Identifying which components of a YouTube Ad affect view through rate can be difficult, but there is an incentive for advertisers to optimize their creatives to improve it.

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