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ease
features
design
support

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Description

In honor of Archimedes, whose 2311th anniversary we celebrate this year, we are excited to introduce our inaugural Mathstral model, a specialized 7B architecture tailored for mathematical reasoning and scientific exploration. This model features a 32k context window and is released under the Apache 2.0 license. Our intention behind contributing Mathstral to the scientific community is to enhance the pursuit of solving advanced mathematical challenges that necessitate intricate, multi-step logical reasoning. The launch of Mathstral is part of our wider initiative to support academic endeavors, developed in conjunction with Project Numina. Much like Isaac Newton during his era, Mathstral builds upon the foundation laid by Mistral 7B, focusing on STEM disciplines. It demonstrates top-tier reasoning capabilities within its category, achieving remarkable results on various industry-standard benchmarks. Notably, it scores 56.6% on the MATH benchmark and 63.47% on the MMLU benchmark, showcasing the performance differences by subject between Mathstral 7B and its predecessor, Mistral 7B, further emphasizing the advancements made in mathematical modeling. This initiative aims to foster innovation and collaboration within the mathematical community.

Description

Mistral AI's Document Capabilities offer an impressive array of tools designed to facilitate the understanding, summarization, and creation of content from intricate documents through the use of cutting-edge AI models. Tailored for both developers and businesses, these features empower users to efficiently handle substantial quantities of text, allowing for the extraction of essential information, the formulation of succinct summaries, and even the generation of new content inspired by the original text. By harnessing top-tier language models, Mistral assists organizations in streamlining document-intensive workflows, addressing needs ranging from legal document evaluations and contract scrutiny to research paper overviews and business report generation. The API is built for smooth integration with current systems, permitting real-time processing and analysis of documents. Mistral’s Document capabilities shine in situations where rapid understanding of lengthy or specialized content is essential, significantly cutting down the time dedicated to manual reading and assessment. Consequently, businesses can enhance productivity and improve decision-making through more efficient document management processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AlphaCorp
Arize Phoenix
EvalsOne
Fleak
HoneyHive
HumanLayer
LibreChat
Melies
Memo AI
Ministral 8B
Mistral 7B
Mistral Large
Noma
OpenLIT
OpenPipe
Overseer AI
Superinterface
WebLLM
Wordware
thisorthis.ai

Integrations

AlphaCorp
Arize Phoenix
EvalsOne
Fleak
HoneyHive
HumanLayer
LibreChat
Melies
Memo AI
Ministral 8B
Mistral 7B
Mistral Large
Noma
OpenLIT
OpenPipe
Overseer AI
Superinterface
WebLLM
Wordware
thisorthis.ai

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

mistral.ai/news/mathstral/

Vendor Details

Company Name

Mistral AI

Founded

2023

Country

France

Website

docs.mistral.ai/capabilities/document/

Product Features

Product Features

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

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