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Getting Started with Gemini API: A Comprehensive Practical Guide
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Getting Started with Gemini API: A Comprehensive Practical Guide

Last Updated on January 3, 2024 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

Getting Started with Google's Latest Multi-Modal AI Model

Gemini, the latest LLM model from Google, marks a significant leap forward in the realm of perfect answers to your questions using images, audio, and text. Concurrently, Bard, its predecessor, is making a notable comeback. This dynamic duo promises to revolutionize the way we interact with information, offering nearly flawless responses to queries encompassing images, audio, and text.

This hands-on tutorial will show you how to use the Gemini API and set it up on your computer. We’ll go over various Python API functions, like creating text and understanding images, to help you make the most out of Gemini’s capabilities in a simple way. Get ready to make your queries smoother and more advanced with Gemini!

What is the Gemini Model?Setting Up Working Environment & Getting StartedCustomizing the Model ResponseGemini Pro VisionChat Conversations Using GeminiEmbeddings Model with Gemini

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

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