AI Glossary
Plain-English definitions for the artificial intelligence terms that appear in AI news, product updates, and research.
Artificial Intelligence
Software that performs tasks usually associated with human reasoning, language, perception, prediction, or decision-making.
Machine Learning
A method where systems learn patterns from data instead of following only hand-written rules.
Large Language Model
An AI model trained on large amounts of text to predict and generate language, answer questions, summarize, and assist with tasks.
Generative AI
AI that creates new content such as text, images, audio, video, code, or structured data from prompts.
AI Agent
An AI system designed to pursue a goal through multiple steps, often using tools, web browsing, files, or APIs.
RAG
Retrieval-augmented generation, a technique that lets an AI answer using information retrieved from documents, databases, or websites.
Multimodal AI
AI that can work across multiple input or output types, such as text, images, audio, video, and code.
Token
A small unit of text, such as part of a word, that language models process when reading or generating content.
Fine-Tuning
Additional model training on a specific dataset to improve behavior for a task, domain, or style.
Inference
The process of running a trained AI model to produce an answer, prediction, or generated output.
Hallucination
When an AI system produces an answer that sounds confident but is unsupported, inaccurate, or invented.
Responsible AI
Practices focused on safety, fairness, privacy, transparency, accountability, and human oversight in AI systems.
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