Clear, concise definitions of the most important AI concepts — from transformers to prompt engineering.
An AI agent is a system that uses a language model to autonomously plan and execute multi-step tasks by interacting with tools, APIs, and en...
A diffusion model is a generative AI architecture that creates images, video, or audio by learning to reverse a gradual noising process. Sta...
Fine-tuning is the process of further training a pre-trained AI model on a smaller, task-specific dataset to improve its performance on that...
A large language model is a neural network trained on massive text datasets to understand and generate human language. LLMs power chatbots, ...
AI lip sync is a technology that automatically adjusts a speaker's mouth movements in video to match new audio, typically in a different lan...
Prompt engineering is the practice of designing and refining text inputs to get optimal outputs from AI models. It encompasses techniques li...
Retrieval-augmented generation is a technique that combines a language model with an external knowledge retrieval system to produce more acc...
Text-to-video is an AI capability that generates video clips directly from text descriptions, producing motion, scenes, and characters witho...
The transformer is a deep learning architecture introduced in the 2017 paper 'Attention Is All You Need' that relies entirely on self-attent...
Voice cloning uses AI to create a synthetic replica of a person's voice from a short audio sample, typically 10 seconds to a few minutes. Th...