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  • MAR 13, 2025 / Gemini

    Unlocking bonus worlds with Gemini for the Google I/O puzzle

    The Google I/O 2025 puzzle used the Gemini API to generate dynamic riddles for bonus worlds, enhancing player engagement and scalability. Here's what our developers learned on using the Gemini API effectively, including creativity, design, and implementation strategies.

    IO-2025-puzzle-how-its-made
  • MAR 12, 2025 / Gemini

    Experiment with Gemini 2.0 Flash native image generation

    The experimental native image generation feature of Gemini 2.0 Flash – allowing for the combination of text and images, conversational image editing, and leveraging real-world knowledge for contextual visuals – is now available for developers to test through Google AI Studio and the Gemini API.

    Gemini 2.0 Flash native image generation
  • MAR 07, 2025 / Gemini

    State-of-the-art text embedding via the Gemini API

    A new experimental Gemini Embedding text model, now available in the Gemini API, achieves top rankings on the Massive Text Embedding Benchmark (MTEB) leaderboard and offers expanded language support and high-dimensional embeddings.

    Gemini spark
  • MAR 06, 2025 / Gemini

    Gemini 2.0 Deep Dive: Code Execution

    This blog post introduces Gemini's code execution feature, which allows the AI model to generate and run Python code for tasks like solving equations, data analysis, and creating visualizations.

    code-execution-gemini-api
  • MAR 05, 2025 / Gemini

    CalCam: Transforming Food Tracking with the Gemini API

    CalCam, a calorie-tracking app, uses the Gemini API to analyze meal photos, providing users with fast and accurate nutritional information. Polyverse, CalCam's creator, highlights Gemini API's speed, accuracy, and structured JSON output are crucial for CalCam's seamless user experience and efficient development, allowing for easy integration and detailed food analysis.

    Gemini API x Polyverse Case Study
  • 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 18, 2025 / Gemini

    확장 가능한 AI 에이전트 개발: Langbase 및 Gemini API

    Langbase는 개발자가 Google Gemini API, 특히 Gemini 1.5 Flash를 활용하여 강력하고 확장 가능한 AI 에이전트를 개발하고 배포할 수 있도록 지원하여 지능형 애플리케이션과 간소화된 워크플로의 새로운 시대를 열어줍니다.

    Langbase + Gemini API
  • FEB 06, 2025 / Gemini

    Gemini API에 Imagen 3 도입

    이제 Google AI Studio와 Gemini API에서 사용할 수 있는 Imagen 3는 개발자에게 다양한 스타일의 더 밝고 잘 구성된 최첨단 이미지 생성 기능과 텍스트 프롬프트를 통한 단순화된 이미지 생성 기능을 제공합니다.

    Imagen 3 arrives in the Gemini API
  • FEB 05, 2025 / Gemini

    Gemini 2.0: Flash, Flash-Lite, Pro

    현재 프로덕션 준비 단계에 있으며 더 높은 속도 한도, 향상된 성능, 단순화된 요금제를 자랑하는 Gemini 2.0 Flash 출시를 포함해 Gemini 2.0 모델 제품군의 중요한 업데이트가 이루어지고 있습니다. 개발자는 오늘 바로 Gemini 2.0 Pro의 업데이트된 시험용 버전에 대한 테스트를 시작할 수도 있습니다. 또한 특히 대규모 워크로드에 적합하게 설계된 Gemini 2.0 Flash-Lite라는 새로운 버전도 다음 주에 선보일 예정입니다.

    Gemini 2.0 family expands for developers: Flash, Flash Lite and Pro