Codenteam Intersect - All-In-One AI - Generate Text, Images, Videos, Websites

Overview

What is Gemini Pro?

Google's multimodal AI model with native understanding of text, images, audio, and code.

Created by:

Google

Release Date:

2024-01-12

Capabilities Overview

TextGeneration 93%

Reasoning 91%

Coding 90%

Multimodal 93%

Safety 90%

Technical Specifications

Architecture

type: Native Multimodal Transformer

parameters: 1.0 trillion

context: 1,000,000 tokens

trainingDataUpTo: January 2024

architecture: Unified multimodal architecture with native text, image, audio, and code processing, featuring advanced long-context attention mechanisms and Google's PaLM-2 foundation

Performance Metrics

MMLU: 92.8%

HumanEval: 88.7%

HellaSwag: 93.1%

ARC Challenge: 91.4%

GSM8K: 95.2%

Long Context: 87.3%

Code Generation: 89.6%

Multimodal Reasoning: 90.1%

Performance Dashboard

TextGeneration

93%

Reasoning

91%

Coding

90%

Multimodal

93%

Safety

90%

Technical Metrics

Parameters: 1.0T

ContextWindow: 1000000

Latency: 180

Accuracy: 90.8

Cost: $0.02/1K tokens

Benchmark Performance

MMLU 92.8%

HumanEval 88.7%

HellaSwag 93.1%

ARC Challenge 91.4%

GSM8K 95.2%

Long Context 87.3%

Code Generation 89.6%

Multimodal Reasoning 90.1%

Features

Native multimodal processing

Seamlessly handle text, images, audio, and code in unified workflows

Extremely long context

Process up to 1 million tokens for comprehensive document analysis

Fast inference speed

Rapid response times for efficient real-time interactions

Google services integration

Native integration with Google Workspace and cloud services

Code execution capabilities

Run and test code directly within the AI environment

Real-time collaboration

Seamless integration with collaborative workflows and real-time document editing

Pros & Cons

Advantages

Massive context window
Fast response times
Cost-effective
Google ecosystem integration

Disadvantages

Newer model with less testing
Limited availability in some regions
Still developing capabilities

What can it do?

Large Dataset Analysis

Process massive datasets and documents up to 1 million tokens for comprehensive analysis

Code Execution

Run and test Python code directly within the AI environment for rapid prototyping

Google Workspace Integration

Seamlessly work with Google Drive, Sheets, Docs, and other Google services

Gemini Pro