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Description
Our innovative AI technology is designed to automatically identify photo-scanned math problems and assist you with your homework. AIR MATH utilizes our cutting-edge AI-Ed platform to analyze every submitted math issue, delivering prompt solutions for your assignments. This robust system can handle a wide range of queries, from basic calculations to complex word problems. Whether you're tackling school assignments, preparing for exams, or engaging in everyday studies, AIR MATH is here to support you. Additionally, the service offers a 24/7 live chat feature, connecting you with expert tutors who can provide detailed, personalized guidance on your math challenges. Not only can AIR MATH recognize standard equations across various subjects, but it is also adept at comprehending and breaking down word problems, offering multiple step-by-step solution options for your convenience. With this level of support, mastering math concepts becomes a much more manageable task.
Description
DeepScaleR is a sophisticated language model comprising 1.5 billion parameters, refined from DeepSeek-R1-Distilled-Qwen-1.5B through the use of distributed reinforcement learning combined with an innovative strategy that incrementally expands its context window from 8,000 to 24,000 tokens during the training process. This model was developed using approximately 40,000 meticulously selected mathematical problems sourced from high-level competition datasets, including AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. Achieving an impressive 43.1% accuracy on the AIME 2024 exam, DeepScaleR demonstrates a significant enhancement of around 14.3 percentage points compared to its base model, and it even outperforms the proprietary O1-Preview model, which is considerably larger. Additionally, it excels on a variety of mathematical benchmarks such as MATH-500, AMC 2023, Minerva Math, and OlympiadBench, indicating that smaller, optimized models fine-tuned with reinforcement learning can rival or surpass the capabilities of larger models in complex reasoning tasks. This advancement underscores the potential of efficient modeling approaches in the realm of mathematical problem-solving.
API Access
Has API
API Access
Has API
Integrations
Google Chrome
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
AIR MATH
Website
www.airmath.com
Vendor Details
Company Name
Agentica Project
Founded
2025
Country
United States
Website
agentica-project.com