Gemini by Google

Introducing Gemini: Google's Most Capable AI Model Yet

Introduction

Gemini is Google's most capable and general AI model, optimized for three different sizes: Ultra, Pro, and Nano. Discover the possibilities of Gemini and its state-of-the-art performance and next-generation capabilities.


Added On:

Apr 28, 2024

Monthly Visitors:

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6.9M

Affiliate Program:

No

Introducing Gemini: Google's Most Capable AI Model Yet

Gemini by Google's Overview

Gemini is Google's largest and most capable AI model, designed to be multimodal and flexible. It can operate across different types of information, including text, code, audio, image, and video. Gemini 1.0 comes in three sizes: Ultra, Pro, and Nano, each optimized for various tasks. It surpasses state-of-the-art performance on multiple benchmarks, demonstrating its sophisticated reasoning capabilities, ability to understand and answer questions across complex subjects, and proficiency in coding tasks. Gemini was trained using Google's in-house designed Tensor Processing Units (TPUs) and is built with responsibility and safety in mind, undergoing comprehensive safety evaluations. It is now being rolled out in Google products and platforms, including Bard and Pixel. Developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Gemini Ultra will be available to select customers and experts for early experimentation and feedback before a broader release. Gemini represents a significant milestone in AI development, enabling a future of innovation.


Gemini by Google's Features

  • Multimodal and flexible AI model

  • State-of-the-art performance on benchmarks

  • Sophisticated reasoning capabilities


Gemini by Google's Q&A


Gemini by Google's Pricing

Pricing details for Gemini are not provided on the website.

Gemini by Google's Analytics

Website Overview

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Global Rank

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Top Regions

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Total Visitors

Monthly visitor statistics for the last 3 months

Trending down by 24.3% this month
April - June 2024

Traffic Sources

Distribution of traffic sources

Social:
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Paid Referrals:
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Mail:
1.5%
Referrals:
6.6%
Search:
56.2%
Direct:
31.1%
Dominant source: Search
56.2% of total traffic

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