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DeepSeekMath

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What is Interactive Mathematics?

Interactive Mathematics is committed to igniting curiosity and providing education about the fascinating realm of mathematics. It accomplishes this through clear examples, relating concepts to everyday life, and offering interactive applets that invite users to explore mathematical principles. Each year, the platform supports more than 5 million students with free lessons to help them excel in their mathematical studies. Building on this foundation, we have combined our knowledge with AI technology to introduce a free math problem solver and tutoring chat service. This new tool integrates a powerful mathematical computation engine with sophisticated artificial intelligence, creating a state-of-the-art math problem solver and calculator. It not only offers greater precision than ChatGPT but also exceeds the capabilities of conventional calculators and provides faster answers than a human tutor! Whether dealing with challenging word problems, algebraic expressions, or complex calculus, our AI math problem solver and calculator is equipped to handle everything. Furthermore, it excels at understanding mathematical word problems and identifying the appropriate mathematical operations needed. This comprehensive approach not only enhances the learning experience but also empowers students to cultivate a richer understanding of mathematical concepts, ultimately fostering a more profound appreciation for the subject. Through our innovative tools, we aim to create a supportive learning environment for all math enthusiasts.

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.