Glossary
Searchable terminology from accessibility, web standards, and related fields.
8 results found in ai.
- AI Code Assistant (AI coding assistant, AI programming assistant)
- A developer tool powered by large language models that provides code completion, natural-language explanations, refactoring, bug fixes, and conversational programming support inside an IDE or editor. …
- Agent Mode (AI agent mode)
- An interaction mode in AI code assistants where the assistant autonomously decomposes a high-level request into subtasks, iteratively plans, executes, and observes — typically editing multiple files, …
- Embodied Agent (Embodied Conversational Agent, Embodied AI)
- An interactive system that is represented in physical or graphical form with a body, face, or avatar, allowing it to communicate with users through multiple modalities such as speech, gesture, gaze, a…
- GitHub Copilot (Copilot)
- An AI code assistant developed by GitHub and Microsoft, integrated into editors such as Visual Studio Code, Visual Studio, and JetBrains IDEs. Copilot offers inline code completion, conversational cha…
- Multi-Modal LLM (Multimodal Large Language Model, MLLM, Vision-Language Model)
- A large language model that can process and reason over more than one type of input modality, typically text combined with images, audio, or video. In accessibility research, multi-modal LLMs such as …
- Self-Consistency (Self-Consistency Prompting, Self-Consistency Decoding)
- A prompting technique for large language models in which the model is queried multiple times with the same input (using non-deterministic sampling) and the most frequent or highest-voted answer is ret…
- Vibe Coding
- A programming style, popularised by Andrej Karpathy in 2025, in which developers express high-level goals to an AI code assistant in natural language and let the AI handle implementation details, iter…
- Zero-Shot Learning (Zero-Shot Prompting, Zero-Shot Inference)
- A machine-learning approach in which a model performs a task on classes or scenarios it has never seen explicit training examples for, relying entirely on its pre-trained knowledge and the structure o…