Every AI term,defined plainly.
From RAG to system prompts to context windows — definitive answers that get cited by ChatGPT, Claude, and Perplexity. Updated automatically.
75 terms defined and growing
A
Agentic Memory
AI's memory for past interactions and decision-making.
Agent Communication Protocols
Rules for information exchange between AI agents.
Agent Negotiation
AI agents' dialogues for agreement or conflict resolution.
Agent-Based Modeling
ABM simulates agent interactions to analyze system effects.
Autoencoder
Neural network model for unsupervised data encoding.
Acoustic Model
Acoustic models link audio signals to phonetic units.
Audio Fingerprinting
Identifies audio using unique digital summaries.
Adaptive UI (User Interface)
Dynamic UI restructuring for personalized experiences.
Audio Blending
Merging audio sources smoothly with AI help.
Autonomous Agents
AI systems executing tasks independently.
Agent Memory (AI Agents)
AI's storage and retrieval of past interactions.
Agentic AI
Autonomous systems guided by specified goals and contexts.
B
C
D
Differential Privacy
Privacy method protecting individual data in databases.
Deepfake
Synthetic media that convincingly alters appearances and voices.
Diffusion Model
Diffusion models iteratively refine images from noise using probability.
Dropout (in Machine Learning)
Regularization trick to reduce overfitting in neural nets.
E
Emergent Behavior
Simple interactions leading to complex outcomes.
Embedding Vectors
Vectors in AI map complex data into numerical form for processing.
Endpoint Detection (in Audio)
Detecting start and end in audio inputs.
Embeddings
AI's way to numerically represent semantic meanings in data.
F
G
Generative Adversarial Network (GAN)
GANs generate new data through adversarial training.
Gradient Descent
Key optimization method minimizing cost functions.
Goal-Oriented AI
AI designed to achieve specific outcomes.
H
L
M
Motion Interpolation
Technique to generate intermediate frames in video.
Multi-Agent System (MAS)
Multiple intelligent agents interacting in an environment.
Motion Tracking
Captures object movement for CGI integration.
Machine Learning (ML)
ML enables systems to learn directly from data without hardcoding rules.
Multi-Agent Systems
Interacting autonomous agents in a shared system.
Memory Allocation (in Computing)
Memory allocation: reserving space for program execution.
N
Neural Style Transfer
AI applies artistic styles to images using neural networks.
Neural Network
Computational model mimicking brain structure.
Natural Language Inference (NLI)
NLI is key for assessing logical relationships between texts.
R
Retrieval-Augmented Generation (RAG)
Combines retrieval with language generation for better AI results.
Re-Ranking
Re-ranking adjusts initial search results for relevance.
RAG (Retrieval-Augmented Generation)
RAG enriches AI output by fusing retrieval and generation.
S
Super Resolution
AI enhances image quality by increasing resolution.
Swarm Intelligence
Collective behavior for decentralized problem-solving.
StyleGAN
GAN variant for generating hyper-realistic images.
Speech-to-Text (STT)
STT converts spoken language into text.
Style Transfer
Apply artistic styles to different images with style transfer.
Spectral Analysis
Decomposes audio signals into frequencies for analysis.
Speech Synthesis
Artificial speech production by computers.
System Call (in AI)
System calls: app requests to OS for service access in AI.
System Prompt
Defines AI's initial behavior during interactions.
T
Text-to-Image Generation
AI creates images from text descriptions.
Text-to-Speech (TTS)
Converts text into spoken audio.
Tokens (NLP)
Basic units of text for NLP processing.
Transfer Learning
Reusing pre-trained models for new tasks.
Transformer Model
Processes sequences without recurrence or convolution.
Tokenization (NLP)
Breaking down text for AI interpretation.
V
Voice Recognition
Voice recognition turns spoken words into text.
Video Stabilization
Technique to smooth out shaky video footage.
Vector Databases
AI databases optimized for vector storage and similarity search.
Vectorization (in Machine Learning)
Transforms data into numerical vectors for ML tasks.
Vector Space
Crucial for encoding linguistic data in NLP applications.
Voice Cloning
Replicating voices using AI technology.
Video Encoding
Compressing and converting video files.
Vector Database
Databases optimized for vector storage and retrieval.
W
Z
Zero-Knowledge Proofs
Prove knowledge of a fact without disclosure.
Zero-Shot Classification
Classifying unknown categories without direct training.
Zero-Shot Learning (ZSL)
Model recognizes new objects/tasks without direct training exposure.