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  • Gemini API | Google AI for Developers
    Gemini About Docs API reference Pricing Imagen About Docs Pricing Veo About Docs Pricing Gemma About Docs Gemmaverse Build with Gemini Gemini API Google AI Studio Customize Gemma open models Gemma open models Multi-framework with Keras Fine-tune in Colab Run on-device
  • Welcome to the Gemini API Cookbook - GitHub
    The quickstarts section contains step-by-step tutorials to get you started with Gemini and learn about its specific features To begin, you'll need: A Google account An API key (create one in Google AI Studio) ; We recommend starting with the following: Authentication: Set up your API key for access ; Get started: Get started with Gemini models and the Gemini API, covering basic prompting
  • Gemini models | Gemini API | Google AI for Developers
    Try Gemini 2 5 Pro Preview, our most advanced Gemini model to date Gemini 1 5 Pro is a mid-size multimodal model that is optimized for a wide-range of reasoning tasks 1 5 Pro can process large amounts of data at once, including 2 hours of video, 19 hours of audio, codebases with 60,000 lines of code, or 2,000 pages of text
  • Generating content | Gemini API | Google AI for Developers
    The Gemini API supports content generation with images, audio, code, tools, and more For details on each of these features, read on and check out the task-focused sample code, or read the comprehensive guides
  • Market Data - REST API - Gemini Crypto Exchange
    The Gemini Crypto Exchange REST API allows programmatic access to trade cryptocurrencies and manage your account on the Gemini Exchange platform The API provid
  • Gemini for Google Cloud documentation
    Gemini for Google Cloud documentation Gemini for Google Cloud is a generative AI-powered collaboration product that provides assistance to all types of Google Cloud users Learn more
  • Gemini API Documentation - Postman
    Gemini API Documentation The Gemini API allows developers to build generative AI applications using Gemini models Gemini is Google's most capable model, built from the ground up to be multimodal
  • Documentation for Googles Gen AI site - including the Gemini API and Gemma
    Google Gemini API Website Documentation These are the source files for the guide and tutorials on the Generative AI developer site, home to the Gemini API and Gemma Path Description; site Notebooks and other content used directly on ai google dev demos Demos apps Larger than examples, typically consists of working apps
  • Gemini API using Firebase AI Logic
    Multimodal and natural language input: The Gemini models are multimodal, so prompts sent to the Gemini API can include text, images, PDFs, video, and audio Some Gemini models can also generate multimodal output Both the Gemini and Imagen models can be prompted with natural language input Growing suite of capabilities: With the SDKs, you can call the Gemini API or Imagen API directly from





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