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AI program glossary
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AI TERMINOLOGY
Word Explanation
Artificial The simulation of human intelligence in machines that can
Intelligence (AI) perform tasks that typically require human intelligence.
A subset of AI that enables machines to learn from data and
Machine learning
improve from experience without being explicitly
(ML)
programmed.
A type of machine learning using neural networks with many
Deep Learning
layers (deep networks) to analyze various factors of data.
A series of algorithms that mimic the operations of a human
Neural Network
brain to recognize relationships in a set of data.
A set of rules or steps that a machine follows to achieve a
Algorithm
specific task.
Information used to train machine learning models, usually in
Data
the form of datasets.
Extremely large datasets that require advanced tools and
Big Data
techniques to store, process, and analyze.
Natural Language The field of AI focused on enabling machines to understand,
Processing (NLP) interpret, and generate human language.
A field of AI that enables machines to interpret and make
Computer vision
decisions based on visual data (images and videos).
A type of neural network model with many parameters, trained
LLM (Large
on a vast amount of text data, capable of understanding and
Language Model)
generating human-like text.
The process of teaching a machine learning model using a
Training
dataset.
The process of evaluating a machine learning model's
Testing
performance on a separate dataset after training.
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