SeRL: Revolutionizing LLM Training with Self-Play Reinforcement Learning for Limited Data Scenarios

★SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data★ Breaking Through Data Limitations in AI Training Large language models (LLMs) have demonstrated remarkable reasoning capabilities, yet traditional reinforcement learning approaches face significant challenges: 🍄 High-quality instruction dependency requires extensive expert-annotated data 🍄 Verifiable reward systems need specialized domain knowledge 🍄 Resource-intensive processes limit accessibility for specialized domains These barriers become particularly problematic in technical fields like mathematics, where obtaining quality training data is costly and time-consuming. The SeRL Framework: Self-Evolving AI SeRL (Self-play Reinforcement Learning) introduces a breakthrough approach with two synergistic components: 1. Self-Instruction Module 🍄 Dynamic …