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Learn about Code-Optimized Reasoning Training (CoRT), a novel solution addressing the limitations of Chain-of-Thoughts (CoT) approaches through hint engineering for code interpreters in this 30-minute tutorial. Explore the research findings from "Teaching Language Models to Reason with Tools" by Chengpeng Li and colleagues from institutions including University of Science and Technology of China, Alibaba Inc.'s Qwen Team, and The Chinese University of Hong Kong, Shenzhen. Discover how CoRT enhances language model reasoning capabilities by integrating code interpretation tools, understand the methodology behind hint engineering, and examine practical applications of this approach. Access the accompanying GitHub repository for hands-on implementation and delve into the technical details of how this method improves upon traditional reasoning frameworks in AI systems.
