DataFunTalk
Aug 24, 2024 · Artificial Intelligence
Improving the Mathematical Reasoning Ability of Large Language Models: Overview, Mixed Instructions, Synthetic Data, and Training Optimization
This article presents a comprehensive approach to enhancing large language models' mathematical reasoning by reviewing model architectures, introducing mixed CoT‑PoT instructions, generating and filtering synthetic data, and applying multi‑stage training optimizations such as RFT, PPO, and DPO, with detailed experimental results and Q&A.
AIReward ModelTraining Optimization
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