ToRA

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Category:AI Agent Development Frameworks

Overview

A tool-integrated AI agent designed to solve complex mathematical problems by interacting with external tools.

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AI researchers mathematicians software developers data scientists educators

ToRA, developed by researchers from Tsinghua University and Microsoft, is a series of Tool-integrated Reasoning Agents aimed at addressing challenging mathematical problems. By seamlessly combining natural language reasoning with external computational tools such as computation libraries and symbolic solvers, ToRA enhances the analytical capabilities of AI systems. This integration allows ToRA to effectively tackle complex mathematical reasoning tasks, outperforming existing open-source models on multiple datasets. Notably, ToRA-Code-34B is the first open-source model to achieve over 50% accuracy on the MATH dataset, surpassing GPT-4's Chain-of-Thought results.

Autonomy level

81%

Reasoning: ToRA demonstrates high autonomy through its ability to integrate natural language reasoning with programmatic tool use for mathematical problem solving. The system autonomously decides when to switch between analytical reasoning and computational tool invocation (e.g., equation solvers) through its iterative reasoning process. While it requires ini...

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Some of the use cases of ToRA:

Researchers seeking advanced AI solutions for complex mathematical problem-solving.
Educational institutions aiming to integrate AI-assisted tools into their mathematics curriculum.
Developers interested in enhancing AI models with tool-interaction capabilities.
Organizations requiring precise and efficient solutions for mathematical computations.

Pricing model:

free

Code access:

open-source

Popularity level: 72%