No terms match your search. Try a different keyword.
A
AI (Artificial Intelligence)Machines designed to perform tasks that normally require human intelligence.
AEO (Answer Engine Optimization)Optimizing content to be selected as direct answers by AI tools.
AlgorithmA set of rules or instructions a system follows to solve a problem.
API (Application Programming Interface)A way for software systems to talk to each other.
AutomationUsing AI or software to complete tasks without human input.
B
Bias (AI Bias)When AI outputs reflect unfair patterns in training data.
Big DataExtremely large datasets used to train AI models.
BotAn automated program that performs tasks online.
C
ChatbotAI designed to communicate through text or voice.
ClaudeAn AI assistant developed by Anthropic.
Computer VisionAI’s ability to interpret images and video.
Context WindowHow much information an AI can remember at once.
CopilotMicrosoft’s AI assistant integrated into its products.
D
Data TrainingTeaching AI using large datasets.
Deep LearningAdvanced machine learning using neural networks.
Diffusion ModelAI model used for generating images or video.
E
EmbeddingsNumerical representations of words or concepts.
Ethical AIDesigning AI responsibly and fairly.
ExplainabilityHow well humans can understand AI decisions.
F
Fine-TuningCustomizing an AI model for specific tasks.
Foundation ModelA large model trained broadly before specialization.
G
GEO (Generative Engine Optimization)Optimizing content for generative AI responses.
Generative AIAI that creates text, images, video, or audio.
GPT (Generative Pre-trained Transformer)A family of language models from OpenAI.
H
HallucinationWhen AI generates incorrect or fabricated information.
Human-in-the-LoopHumans supervising or correcting AI outputs.
I
InferenceWhen an AI generates an output based on input.
Input PromptThe instructions given to an AI system.
Intelligence AugmentationAI enhancing human abilities.
J
Jailbreak PromptAttempts to bypass AI safeguards.
K
Knowledge CutoffThe last date an AI was trained on data.
L
Large Language Model (LLM)AI trained on vast amounts of text.
LatencyTime it takes AI to respond.
Learning RateSpeed at which AI adjusts during training.
M
Machine Learning (ML)AI that improves through experience.
Multimodal AIAI that understands text, images, audio, and video.
ModelThe trained system that produces outputs.
N
Natural Language Processing (NLP)AI understanding human language.
Neural NetworkAI inspired by the human brain’s structure.
O
OpenAICompany behind ChatGPT.
OptimizationImproving AI performance or output quality.
OverfittingWhen AI memorizes data instead of learning patterns.
P
Perplexity AIAI search engine that cites sources.
Prompt EngineeringCrafting inputs to get better AI responses.
ParametersAdjustable values inside an AI model.
Q
QueryA question or request submitted to AI.
R
RAG (Retrieval-Augmented Generation)AI that pulls from external sources.
Reinforcement LearningAI learning through rewards.
RoboticsAI applied to physical machines.
S
SEO (Search Engine Optimization)Optimizing content for search engines.
Semantic SearchSearch based on meaning, not keywords.
Synthetic DataAI-generated training data.
Schema MarkupStructured data that helps AI understand content.
T
TokensChunks of text AI processes.
Training DataInformation used to teach AI.
Transformer ModelArchitecture behind modern LLMs.
U
Unsupervised LearningAI finding patterns without labeled data.
User PromptInput provided by the user.
V
Vector DatabaseStores embeddings for AI retrieval.
Voice AIAI that understands or generates speech.
W
WeightsValues that determine AI decisions.
Workflow AutomationAI-driven task sequences.
X
XAI (Explainable AI)AI designed to be understandable.
Y
Yield OptimizationMaximizing output efficiency, often used in AI marketing tools.
Z
Zero-Shot LearningAI performing tasks without prior examples.
