Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Eurekos
No
MarkSnip
No
MathML Kit
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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