AI DAMN/Pixtral Large - Multimodal AI Model

Pixtral Large - Multimodal AI Model

date
Nov 20, 2024
damn
language
en
status
Published
type
Products
image
https://www.ai-damn.com/1732072931163-202411190851426013.jpg
slug
pixtral-large-multimodal-ai-model-1732072938754
tags
AI Model
Multimodal
Image Understanding
Text Processing
Research Tool
summary
Pixtral Large is a state-of-the-art multimodal AI model developed by Mistral AI, enhancing image and text understanding capabilities. Built on Mistral Large 2 architecture, it excels in multimodal benchmarks and is suitable for various applications in research and enterprise environments.
notion image
 

Product Introduction

 
Pixtral Large is a cutting-edge multimodal AI model introduced by Mistral AI. It enhances image and text understanding, allowing for comprehensive analysis of documents, charts, and natural images. Building on the capabilities of Mistral Large 2, it sets new standards in multimodal performance.
 

Key Features

 
  • Advanced Image Understanding: Capable of comprehending documents, charts, and natural images.
  • Leading Text Understanding: Maintains superior text understanding capabilities inherited from Mistral Large 2.
  • Model Size: Features a 123B multimodal decoder paired with a 1B parameter visual encoder.
  • Context Window: Supports a 128K context window, ideal for processing high-resolution images.
  • Multilingual OCR and Inference: Processes multilingual inputs and performs reasoning across languages.
  • Chart Understanding: Analyzes charts and delivers accurate interpretations.
  • Enterprise-Grade Applications: Suitable for knowledge exploration and enhancing business automation.

Product Data

 
  • Model Architecture: Built on Mistral Large 2 framework.
  • Licensing: Available under Mistral Research License for educational and research use, and Mistral Commercial License for commercial applications.
  • Performance Benchmarks: Outperformed models like Claude-3.5 Sonnet in various multimodal benchmarks, including MathVista, ChartQA, and DocVQA.

Product Link

 

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