AI Glossary
A comprehensive encyclopedia of artificial intelligence and context management terminology — with definitions, in-depth articles, and authoritative sources.
Artificial General Intelligence
Also known as: AGI, Strong AI, Human-Level AI
A hypothetical form of AI that possesses the ability to understand, learn, and apply intelligence across any intellectual task that a human being can, exhibiting flexibility and adaptability across domains.
Artificial Intelligence (AI)
Also known as: AI, Machine Intelligence
The simulation of human intelligence processes by computer systems, including learning, reasoning, self-correction, and the ability to perform tasks that typically require human cognition.
Deep Learning
Also known as: DL, Deep Neural Networks
A subset of machine learning based on artificial neural networks with multiple layers (deep architectures) that can learn hierarchical representations of data for complex pattern recognition.
Embeddings
Also known as: Vector Embeddings, Text Embeddings, Semantic Embeddings
Dense numerical vector representations of data (text, images, audio) that capture semantic meaning, enabling similarity comparisons and machine learning operations in a continuous vector space.
Large Language Model
Also known as: LLM, Foundation Model, Language Model
A type of AI model trained on vast amounts of text data that can understand, generate, and manipulate human language, typically based on the transformer architecture with billions of parameters.
Machine Learning
Also known as: ML
A subset of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed, using algorithms that identify patterns in data.
Natural Language Processing
Also known as: NLP, Computational Linguistics
A field of AI focused on enabling computers to understand, interpret, generate, and meaningfully interact with human language in both text and speech forms.
Tokens
Also known as: Token, Subword Token, BPE Token
The basic units of text that language models process, typically representing words, subwords, or characters. Token counts determine context window usage and API costs.
8 terms under "Core Concepts"