A simple and powerful resource to understand key AI terms.

Large Language Models (LLMs) are advanced artificial intelligence systems that have revolutionized natural language processing. These models are trained on massive datasets of text, enabling them to understand and generate human-like text with remarkable accuracy. LLMs excel in a wide range of tasks, including language…

The information an AI model retains and considers when generating a new response or making a decision. In large language models, context includes previous words, sentences, or even entire conversations, helping the AI understand meaning, maintain coherence, and produce relevant outputs. The amount of context…

AI that interprets visual data like images or videos. Applications include facial recognition, medical image analysis, autonomous vehicles, and quality control in manufacturing.

The processing power required to run AI models, handle data, and perform complex calculations. In AI, compute refers to the hardware resources — like graphics processing units (GPUs) and tensor processing units (TPUs) — that enable models to be trained and run efficiently. More compute…

A step-by-step method used by reasoning language models where the AI explicitly outlines each logical step or intermediate reasoning stage leading to a final conclusion or answer. In reasoning models, using CoT enhances transparency, improves accuracy, and allows humans to understand how the model arrives…