Model Overview Card for Gemini 1.5 Pro

Basic Information

• Model Name: Gemini 1.5 Pro
• Developer/Creator: Google DeepMind
• Release Date: February 15, 2024
• Version: 1.5 Pro
• Model Type: Multimodal (Text, Image, Video, Audio, Code)

Description

Overview

Gemini 1.5 Pro is a state-of-the-art multimodal AI model designed to process and understand various data types, including text, images, videos, audio, and code. It excels in tasks requiring long-context understanding and interleaving of different modalities.

Key Features

• 2-million-token context window
• Natively multimodal, allowing simultaneous processing of text, images, audio, and video
• Enhanced efficiency with a Mixture-of-Experts (MoE) architecture
• Capable of processing extensive data inputs, such as long-form videos and large codebases
• Improved performance in reasoning and generating relevant responses across modalities

Intended Use

Gemini 1.5 Pro is designed for applications requiring comprehensive data analysis, such as research, content generation, and complex reasoning tasks. It is particularly useful in scenarios involving large datasets, such as analyzing videos or summarizing extensive documents.

Gemini 1.5 Pro symptom analysis & diagnosis in healthcare since it provides high-confidence outputs with precision but lower recall, suited for clinical scenarios of critical diagnostic accuracy. Learn more about this and other models and their applications in Healthcare here.

Language Support

The model supports multiple languages, enhancing its applicability in diverse linguistic contexts.

Technical Details

Performance Metrics

Gemini 1.5 Pro demonstrates superior performance metrics, including high accuracy in multimodal tasks and the ability to maintain 100% recall at 200,000 tokens, with minimal reduction in performance up to 10 million tokens.

Such an extensive context window of Gemini 1.5 Pro becomes top-1 on the market, being 2 times bigger than Gemini 1.5 Flash, 10 times than Claude 3.5 Sonnet and 16 times than GPT-4o and Llama 3.1 405B.

Architecture

Gemini 1.5 Pro utilizes a sparse Mixture-of-Experts (MoE) Transformer architecture, which optimizes performance while reducing computational requirements. This architecture allows it to manage extensive context lengths without performance degradation.

Data Source and Size

The training dataset includes a wide range of sources, ensuring a comprehensive understanding of various contexts. The exact size of the dataset has not been disclosed, but it is designed to cover multiple domains effectively.

Knowledge Cutoff

The model's knowledge is February 2024.

Diversity and Bias

Efforts have been made to include diverse datasets in the training process, aiming to reduce biases and improve the model's robustness.

Comparison to Other Models

Gemini 1.5 Pro ranks impressively across key benchmarks, competing closely with top models like GPT-4o, Claude 3.5, and Llama 3.1 405B. It scores 1265 in General Ability, 86% in Reasoning & Knowledge, and 84.1% in Coding, outperforming models like Mixtral 8x22B and Gemini 1.0 Pro, while trailing slightly behind Claude 3.5 and GPT-4o in specific areas.

Usage

Code Samples

The model is available on the AI/ML API platform as "gemini-1.5-pro".

API Documentation

Detailed API Documentation is available on the AI/ML API website, providing comprehensive guidelines for integration.

Ethical Guidelines

The development and use of Gemini 1.5 Pro adhere to ethical AI principles, focusing on safety, fairness, and transparency. Users are encouraged to assess ethical implications before deploying the model in specific applications.

Licensing

Gemini 1.5 Pro is available under a licensing model that includes both commercial and non-commercial usage rights, though specific terms are subject to Google's policies.

‍

Try Gemini 1.5 Pro with AI/ML API.‍