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Google Gemini helps boost creativity and productivity with AI-powered chat for writing, planning, and learning.
gemini.google.com
Chat with Google AI to boost your creativity and productivity. Gemini is the new name of Bard, a writing, planning and learning assistant.
The Gemini family of models are the most general and capable AI models we've ever built. They’re built from the ground up for multimodality — reasoning seamlessly across text, code, images, audio...
Dec 6, 2023 · We’ve optimized Gemini 1.0, our first version, for three different sizes: Gemini Ultra — our largest and most capable model for highly complex tasks. Gemini Pro — our best model for scaling across a wide range of tasks. Gemini Nano — our most efficient model for on-device tasks.
Dec 6, 2023 · Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code. This means it has sophisticated multimodal reasoning and advanced coding capabilities.
Gemini is evolving to be more than just the models. It supports an entire ecosystem — from the products that billions of people use every day, to the APIs and platforms helping developers and businesses innovate.
May 14, 2024 · Gemini Pro - Google DeepMind. Natively multimodal, with an updated long context window of up to two million tokens — the longest of any large-scale foundation model. Multimodal prompting with a 44-minute movie | Gemini 1.5 Pro Demo. Better understanding across modalities.
Feb 15, 2024 · Today, we’re announcing our next-generation model: Gemini 1.5. Gemini 1.5 delivers dramatically enhanced performance. It represents a step change in our approach, building upon research and engineering innovations across nearly every part of our foundation model development and infrastructure.
Google AI Studio is the fastest way to start building with Gemini, our next generation family of multimodal generative AI models. Sign In to Google AI Studio. Explore what is possible with the 2 million token context window. Grab your API key and start integrating Gemini models into your apps.
