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  1. 26 iun. 2024 · The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.

  2. The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini models created by Google DeepMind. Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.

  3. 27 iun. 2024 · Set up your API key. To use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio. Get an API key. Then configure your key. Install the SDK. Initialize the model. Before you can make any API calls, you need to import and initialize the model.

  4. 20 iun. 2024 · The Docs Agent project provides a conversational search interface for a specific content set, backed by the Google Gemini API and generative models. Users can ask a detailed question in a conversational style and get a detailed answer based on a specific content set.

  5. Gemini API: Model tuning with Python. Get started using the Python client library for the Gemini API.

  6. 26 iun. 2024 · Today, we are giving developers access to the 2 million context window for Gemini 1.5 Pro, code execution capabilities in the Gemini API, and adding Gemma 2 in Google AI Studio.. Long context and context caching. At I/O, we announced the longest ever context window of 2 million tokens in Gemini 1.5 Pro behind a waitlist. Today, we’re opening up access to the 2 million token context window on ...

  7. 21 iun. 2024 · Get started with the Gemini API and Gemini 1.5 Flash, including text generation and chat capabilities.

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