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What is Symbolab?

Obtain thorough solutions to mathematical word problems by adhering to a meticulous, step-by-step approach. Furthermore, you can systematically plot and analyze a variety of functions and equations. Geometry fans will find engaging problems and proofs while constructing geometric shapes. To further develop your mathematical skills, interactive and personalized exercises, along with quizzes, are available for continuous practice. You can keep track of your progress through detailed performance reports and analytics, which simplify the process of identifying areas that need improvement. Symbolab acts as an advanced math calculator and problem-solving resource crafted to provide effective assistance to users. With its photo math scanner, you can quickly receive solutions and guidance for your math assignments, ensuring a solid understanding of the concepts behind each problem through straightforward explanations. Having a personal math tutor readily available has never been easier, as Symbolab is a reliable tool for over 200 million students who address more than a billion math challenges. Utilizing the photo scanner feature aids in learning how to solve equations, integrals, derivatives, trigonometric identities, geometric problems, calculus inquiries, and limits, among many other mathematical subjects. This versatility makes Symbolab an indispensable companion for anyone eager to improve their math skills and understanding, ultimately fostering a deeper appreciation for the subject. Whether you're a student or a math enthusiast, Symbolab can significantly enhance your learning journey.

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

Has API

API Availability

Has API

Pricing Information

Free
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

Symbolab

Company Location

United States

Company Website

www.symbolab.com

Company Facts

Organization Name

Agentica Project

Date Founded

2025

Company Location

United States

Company Website

agentica-project.com

Categories and Features

Categories and Features

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