Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents

Date: 2025-02-22 03:42:41

Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in logical reasoning remains a challenge. Traditional LLMs, designed to predict the next word, rely on statistical pattern recognition rather than structured reasoning. This limits their ability to solve complex problems […]The post Reinforcement Learning Meets Chain-of-Thought: Transforming LLMs into Autonomous Reasoning Agents appeared first on Unite.AI.

Sources:

More From: