AI glossary · Generative AI and LLMs
Reasoning model
A reasoning model is an AI model that works through a problem step by step before answering, which helps with maths, coding and complex questions.
Also called thinking model
In more detail
Reasoning models spend extra time and computing power “thinking”: they write out intermediate steps, check them and try other approaches before giving a final answer. It is built-in chain-of-thought.
They tend to be slower and more expensive per question, so many apps let you choose between a fast model for simple tasks and a reasoning model for hard ones.
Example
Asking a reasoning model to plan a two-week trip within a budget, where it checks costs and dates before replying.
Related terms
Chain-of-thought prompting (CoT)Chain-of-thought prompting asks an AI to work through a problem step by step before giving its answer, which often improves accuracy on harder questions.Large language model (LLM)A large language model (LLM) is an AI model trained on vast amounts of text to understand and generate language. It powers chatbots like ChatGPT.InferenceInference is when a trained AI model is used to produce an answer, such as a chatbot writing a reply, as opposed to the training stage when it learns.AI benchmarkAn AI benchmark is a standard test used to measure and compare how well AI models perform on a task, such as maths problems, coding or general knowledge.
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