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What is NerdPal?

NerdPal is a groundbreaking math solver that allows users to take a photo or manually enter a math problem to receive instant solutions paired with thorough, step-by-step explanations of the resolution process. This AI-powered math tutor is specifically designed to help students grasp a wide range of mathematical ideas, providing insights that elucidate how to approach challenges from fundamental arithmetic to complex calculus. Users have the flexibility to select their preferred method of problem-solving, either via image capture or a dedicated math keyboard, ensuring the app caters to their unique preferences. Moreover, the application enables users to monitor previously solved problems, set up personal accounts, and provide feedback within the platform itself. Acknowledging the difficulties many individuals encounter with math, NerdPal strives to deliver vital support and resources to facilitate a more accessible and efficient learning experience. By leveraging NerdPal, students can significantly minimize the time spent struggling with intricate concepts, as the app also includes instructional videos that further bolster comprehension. With its intuitive interface and extensive support, NerdPal revolutionizes the often monotonous task of studying mathematics, making it a more enjoyable and productive endeavor. Ultimately, the app not only enhances learning but also fosters a greater appreciation for the subject itself.

What is DeepScaleR?

DeepScaleR is an advanced language model featuring 1.5 billion parameters, developed from DeepSeek-R1-Distilled-Qwen-1.5B through a unique blend of distributed reinforcement learning and a novel technique that gradually increases its context window from 8,000 to 24,000 tokens throughout training. The model was constructed using around 40,000 carefully curated mathematical problems taken from prestigious competition datasets, such as AIME (1984–2023), AMC (pre-2023), Omni-MATH, and STILL. With an impressive accuracy rate of 43.1% on the AIME 2024 exam, DeepScaleR exhibits a remarkable improvement of approximately 14.3 percentage points over its base version, surpassing even the significantly larger proprietary O1-Preview model. Furthermore, its outstanding performance on various mathematical benchmarks, including MATH-500, AMC 2023, Minerva Math, and OlympiadBench, illustrates that smaller, finely-tuned models enhanced by reinforcement learning can compete with or exceed the performance of larger counterparts in complex reasoning challenges. This breakthrough highlights the promising potential of streamlined modeling techniques in advancing mathematical problem-solving capabilities, encouraging further exploration in the field. Moreover, it opens doors for developing more efficient models that can tackle increasingly challenging problems with great efficacy.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Mac

Supported Platforms

Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

SnapXam

Company Website

www.snapxam.com

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Categories and Features

AI Math Solvers

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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