Overview
The WUKONG PROJECT is a Large Language Model (LLM) initiative focused on mathematics, code evaluation, and content translation. The project aims to enhance the multilingual assessment of AI models in mathematical reasoning and programming capabilities by creating diverse benchmark datasets.
Objectives
The primary goals of the WUKONG PROJECT include:
Project Requests
Request 1: Mathematics and Code Evaluation Sample Production
Dragon_Math_Latex_Translation
Task Sample 1
Request 2: Multilingual Mathematics Challenge Benchmark
Legend_Math_MTPE_Instruction
Legend_Math Translation_Instruction
Task Sample 2
Work Scope
The WUKONG PROJECT involves the following key tasks:
Resource Requirements
Skilled translators with expertise in LaTeX grammar.
Proficiency in mathematical terminology and coding languages.
Knowledge of benchmarking methodologies for AI assessment.
Conclusion
The WUKONG PROJECT is committed to advancing the multilingual evaluation of AI models in mathematics and programming. By developing comprehensive benchmarks and ensuring accurate translations, the project aims to contribute to the improvement of AI inference and problem-solving capabilities on a global scale.