OpenAI’s latest model, o1, represents a monumental shift in the way large language models (LLMs) approach problem-solving. Unlike traditional LLMs, o1 is trained using reinforcement learning, enabling it to "think" before providing an answer. This sophisticated training allows the model to develop a chain of thought, enhancing its ability to reason through complex problems in math, coding, and science. The key to this advancement lies in the reinforcement learning process, which enables o1 to progressively refine its thought process and self-correct. The model learns from its mistakes, breaks down difficult tasks into manageable steps, and adapts its approach when necessary. As a result, it performs significantly better than previous models on a wide range of challenging benchmarks.