Reasoning Models

ToReview LLM reasoning chain-of-thought o1 o3

Reasoning Models are a class of Large Language Models (LLMs) that utilize specialized training and inference techniques, such as Chain-of-Thought (CoT) reasoning, to perform complex problem-solving. Unlike traditional models that generate responses token-by-token in a single pass, these models are designed to “think” before they speak, often generating internal reasoning steps that help them arrive at more accurate conclusions for logic, math, and coding tasks.

Examples of this paradigm include OpenAI’s o1 and o3 series, which prioritize deliberation time at inference to achieve higher performance on challenging benchmarks.