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What is Gurobi Optimizer?

Utilizing our sophisticated algorithms enables you to elevate your model's complexity, providing a more accurate representation of real-world situations while still achieving solutions within the specified time limits. You can effortlessly integrate Gurobi into your current applications using widely-used programming languages. Our intuitive programming interfaces are designed for efficiency and modernity, helping you minimize the learning curve while enhancing your productivity levels. The Python API we provide features advanced modeling capabilities that streamline the optimization model creation process, making it easier than ever. You can opt for Anaconda Python distributions, which include pre-compiled libraries that aid in application development, or you may prefer using Spyder for visual programming and Jupyter for a notebook-like development approach, ensuring a range of versatile tools are available. Moreover, Gurobi's powerful functionalities allow users to confidently address increasingly intricate optimization problems, showcasing its adaptability in various scenarios. In addition, the combination of these features ensures that users can optimize their workflows efficiently while achieving high-quality results.

What is DeepSeekMath?

DeepSeekMath is an innovative language model with 7 billion parameters, developed by DeepSeek-AI, aimed at significantly improving the mathematical reasoning abilities of open-source language models. This model is built on the advancements of DeepSeek-Coder-v1.5 and has been further pre-trained with an impressive dataset of 120 billion math-related tokens obtained from Common Crawl, alongside supplementary data derived from natural language and coding domains. Its performance is noteworthy, having achieved a remarkable score of 51.7% on the rigorous MATH benchmark without the aid of external tools or voting mechanisms, making it a formidable rival to other models such as Gemini-Ultra and GPT-4. The effectiveness of DeepSeekMath is enhanced by its meticulously designed data selection process and the use of Group Relative Policy Optimization (GRPO), which optimizes both its reasoning capabilities and memory efficiency. Available in various formats, including base, instruct, and reinforcement learning (RL) versions, DeepSeekMath is designed to meet the needs of both research and commercial sectors, appealing to those keen on exploring or utilizing advanced mathematical problem-solving techniques within artificial intelligence. This adaptability ensures that it serves as an essential asset for researchers and practitioners, fostering progress in the field of AI-driven mathematics while encouraging further exploration of its diverse applications.

Media

Media

Integrations Supported

.NET
C
C++
Java
MATLAB
Microsoft Excel
Nextmv
Python
R
Visual Studio

Integrations Supported

.NET
C
C++
Java
MATLAB
Microsoft Excel
Nextmv
Python
R
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Gurobi Optimization

Date Founded

2008

Company Location

United States

Company Website

www.gurobi.com/solutions/gurobi-optimizer

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

Categories and Features

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