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.
45 terms defined and growing
A
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
E
G
L
M
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.
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
T
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
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.