The document defines key concepts in artificial intelligence, including machine learning, neural networks, natural language processing, chatbots, deep learning, language models, and algorithms. It emphasizes the simulation of human mental processes by machines and the ability of computers to learn from experience. Additionally, it highlights the importance of understanding language and recognizing patterns in AI applications.

1. ARTIFICIAL
ARTIFICIAL
INTELLIGENCE
INTELLIGENCE
ARTIFICIALINTELLIGENCE(AI)
The simulation of human mental
processes done by a machine or
computer.
MACHINELEARNING
The ability of a computer system to
learn and improve from
experience.
NEURALNETWORK
Brain-inspired computing system
that trains machines to recognise
patterns and predict outcomes.
NATURALLANGUAGEPROCESSING
Computer capability to understand
and generate language akin to
humans.
CHATBOT
A software application designed to
hold a conversation with human
users.
DEEPLEARNING
A subset of machine learning
consisting of neural networks with
multiple layers.
LANGUAGEMODEL
A statistical tool that analyses
patterns in large amounts of text
and learns how words fit together.
ALGORITHM
A set of commands that a
computer follows to solve a specific
problem or perform a task.
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