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Power of Mathematical Reasoning in AI

Emad Dehnavi
4 min readJan 3, 2025

Unlike language processing or basic computation, math demands precision, logic, and the ability to tackle structured problems. But what if we could bridge the gap between human-level mathematical thinking and AI capabilities?

Unlocking the Power of Mathematical Reasoning in AI: The Story of DeepSeekMath

Why Math is a Big Deal for AI

Imagine you’re trying to teach a child to solve a tricky geometry problem. The process isn’t just about learning formulas — it’s about reasoning, applying concepts, and finding solutions step-by-step. AI faces a similar hurdle. Despite their advancements, even the best language models struggle with higher-level math. DeepSeekMath aims to change that by not only catching up but excelling.

The DeepSeekMath Journey

DeepSeekMath is a domain-specific language model trained with a laser focus on mathematical reasoning. It builds on the foundation of DeepSeek-Coder-Base-v1.5, taking in a staggering 120 billion math-related tokens during training. Think of it as feeding the AI a diet of pure mathematical knowledge extracted from web data, code, and natural language.

Top1 accuracy of open-source models on the competition-level MATH benchmark (Hendrycks et al., 2021) without the use of external toolkits and voting techniques.

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Emad Dehnavi
Emad Dehnavi

Written by Emad Dehnavi

With 8 years as a software engineer, I write about AI and technology in a simple way. My goal is to make these topics easy and interesting for everyone.

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