AI Glossary of Terms – SEOdraw.com
A
Artificial Intelligence (AI)
The science of building machines that perform tasks requiring human intelligence like decision-making and pattern recognition.
Algorithm
A set of step-by-step rules or instructions a computer follows to solve a task.
API (Application Programming Interface)
A way for different software tools and systems to communicate with each other.
B
Bias (in AI)
Unfair tendencies in AI caused by unbalanced or flawed training data.
Big Data
Extremely large datasets analyzed to discover patterns and trends.
C
Chatbot
An AI-based tool that simulates conversation, often used for customer service or websites.
Computer Vision
AI that enables machines to understand visual content like photos or videos.
D
Deep Learning
A subset of machine learning using multi-layered neural networks to solve complex problems.
Data Labeling
The process of tagging data so AI can learn from it during training.
F
Fine-Tuning
Customizing a pre-trained AI model by retraining it on a specific dataset.
G
Generative AI
AI that can generate original content like text, images, or music.
H
Hallucination (in AI)
When an AI makes up convincing but false information or details.
L
Large Language Model (LLM)
An AI model trained on huge datasets to understand and generate natural language.
Latency
The time delay before data is processed or responded to.
M
Machine Learning (ML)
A method of AI where systems learn from data to make predictions or decisions.
N
Natural Language Processing (NLP)
AI techniques that allow machines to understand and generate human language.
P
Prompt Engineering
Crafting inputs (prompts) to guide AI to produce better and more accurate outputs.
R
Reinforcement Learning
Training AI by rewarding desired behavior and penalizing undesired actions.
S
Supervised Learning
A type of machine learning where the model is trained on labeled input/output pairs.
T
Token
A piece of text used in AI language models. A token can be a word or a part of a word.
U
Unsupervised Learning
AI learns patterns in data without labeled outputs or instructions.
Z
Zero-Shot Learning
When an AI system makes accurate predictions on new tasks without specific prior training on them.