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Description

DeepSeekMath is an advanced 7B parameter language model created by DeepSeek-AI, specifically engineered to enhance mathematical reasoning capabilities within open-source language models. Building upon the foundation of DeepSeek-Coder-v1.5, this model undergoes additional pre-training utilizing 120 billion math-related tokens gathered from Common Crawl, complemented by data from natural language and coding sources. It has shown exceptional outcomes, achieving a score of 51.7% on the challenging MATH benchmark without relying on external tools or voting systems, positioning itself as a strong contender against models like Gemini-Ultra and GPT-4. The model's prowess is further bolstered by a carefully curated data selection pipeline and the implementation of Group Relative Policy Optimization (GRPO), which improves both its mathematical reasoning skills and efficiency in memory usage. DeepSeekMath is offered in various formats including base, instruct, and reinforcement learning (RL) versions, catering to both research and commercial interests, and is intended for individuals eager to delve into or leverage sophisticated mathematical problem-solving in the realm of artificial intelligence. Its versatility makes it a valuable resource for researchers and practitioners alike, driving innovation in AI-driven mathematics.

Description

A versatile JavaScript display engine designed for mathematics, ensuring compatibility across all web browsers. It delivers stunning and accessible mathematical content seamlessly, eliminating any setup requirements for users—MathJax operates effortlessly. This powerful tool enables the conversion of conventional print materials into contemporary, web-friendly formats and ePubs. The dedicated MathJax team offers training sessions for your staff, focusing on how to leverage our resources for developing online educational materials and crafting accessible STEM content. Additionally, MathJax's flexibility allows customization according to your institution's specific needs, including personalized configurations and tailored software workflows. Utilizing CSS with web fonts or SVG instead of bitmap images or Flash, MathJax ensures that equations are scalable alongside surrounding text at any zoom level. Its modular design supports various input formats like MathML, TeX, and ASCIImath, while generating outputs in HTML+CSS, SVG, or MathML. Furthermore, MathJax is compatible with screen readers and enhances user experience through features like expression zoom and interactive exploration, making it an invaluable resource for educators and students alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

MarkSnip
MathML Kit

Integrations

MarkSnip
MathML Kit

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

DeepSeek

Founded

2023

Country

China

Website

deepseek.com

Vendor Details

Company Name

MathJax

Founded

2009

Country

United States

Website

www.mathjax.org

Product Features

Product Features

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