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3 days ago · Gemini API quickstart Stay organized with collections Save and categorize content based on your preferences. This quickstart shows you how to get started with the Gemini API using the SDK of your choice.
3 days ago · The Gemini API and Google AI Studio help you start working with Google's latest models and turn your ideas into applications that scale.
Nov 4, 2024 · To complete this quickstart, you first need to setup your Cloud project. 1. Enable the API. Before using Google APIs, you need to turn them on in a Google Cloud project. In the Google Cloud console, enable the Google Generative Language API. Enable the API. 2. Configure the OAuth consent screen
Get answers, build together, and be part of the conversation. Build with Gemini 1.5 Flash and 1.5 Pro using the Gemini API and Google AI Studio, or access our Gemma open models.
3 days ago · This API reference provides detailed information for the classes and methods available in the Gemini API SDKs. Pick a language and follow the setup steps to get started with building generative applications on your platform of choice.
Aug 5, 2024 · Google AI Studio lets you quickly try out models and experiment with different prompts. When you've built something you're happy with, you can export it to code in your preferred programming language and use the Gemini API with it. Prompts and model tuning
Aug 8, 2024 · The embedding service in the Gemini API generates state-of-the-art embeddings for words, phrases, and sentences. The resulting embeddings can then be used for natural language processing (NLP) tasks, such as semantic search, text classification and clustering among many others.
Use the Gemini API to create embeddings so that you can perform document search. A collection of guides and code examples for the Gemini API. Explore Python quickstarts and code examples in the Gemini API Cookbook on GitHub.
3 days ago · The Gemini API offers different models that are optimized for specific use cases. Here's a brief overview of Gemini variants that are available:
Nov 6, 2024 · The Google AI Gemini API uses API keys for authorization. If others get access to your Gemini API key, they can make calls using your project's quota, which could result in lost quota or additional billing charges (if billing is enabled). API keys also guard access to tuned models and files.
