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
GAMS, which stands for General Algebraic Modeling System, is a premier software for mathematical modeling praised for its exceptional performance, scalability, and user-friendly interface. With the recent launch of GAMSPy, users can now seamlessly merge GAMS functionalities with Python, thus enhancing the efficiency and versatility of model development within the Python environment. The platform's algebraic modeling language greatly simplifies the formulation of optimization challenges, leading to optimal outcomes through the use of advanced mathematical solvers. Furthermore, GAMS MIRO introduces intuitive graphical interfaces for managing GAMS models, supporting both local and cloud-based deployment alongside sophisticated visualization tools. For those seeking scalable solutions, the GAMS Engine provides a dependable software as a service (SaaS) option, making it possible to execute models either on local servers or in the cloud. In addition to these features, GAMS is committed to supporting its users through various workshops, training sessions, and consulting services, aimed at enhancing their ability to create, refine, and implement effective decision-support systems. This comprehensive approach ensures that users are well-equipped to leverage GAMS to its fullest potential, fostering innovation and efficiency in their modeling endeavors.
API Access
Has API
No
API Access
Has API
No
Integrations
Artelys Knitro
No
Python
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
$3,500 one-time payment
Free Trial
Yes
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
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
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
Yes
Vendor Details
Company Name
DeepSeek
Founded
2023
Country
China
Website
deepseek.com
Vendor Details
Company Name
GAMS
Founded
1987
Country
United States
Website
www.gams.com
Product Features
Product Features
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No