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A Primer on Generative Artificial Intelligence
by
Kalota, Faisal
in
Algorithms
/ Artificial Intelligence
/ Basic Skills
/ Cognitive Ability
/ Computational linguistics
/ Computer industry
/ Computer software industry
/ Computers
/ Deep learning
/ Definitions
/ GAI
/ GenAI
/ generative AI
/ Generative artificial intelligence
/ Industry 4.0
/ Language processing
/ Machine learning
/ Medicine
/ Natural language interfaces
/ Pattern Recognition
/ Recommender systems
/ Supervisors
/ Symbolic Learning
/ Teaching Methods
2024
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A Primer on Generative Artificial Intelligence
by
Kalota, Faisal
in
Algorithms
/ Artificial Intelligence
/ Basic Skills
/ Cognitive Ability
/ Computational linguistics
/ Computer industry
/ Computer software industry
/ Computers
/ Deep learning
/ Definitions
/ GAI
/ GenAI
/ generative AI
/ Generative artificial intelligence
/ Industry 4.0
/ Language processing
/ Machine learning
/ Medicine
/ Natural language interfaces
/ Pattern Recognition
/ Recommender systems
/ Supervisors
/ Symbolic Learning
/ Teaching Methods
2024
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Do you wish to request the book?
A Primer on Generative Artificial Intelligence
by
Kalota, Faisal
in
Algorithms
/ Artificial Intelligence
/ Basic Skills
/ Cognitive Ability
/ Computational linguistics
/ Computer industry
/ Computer software industry
/ Computers
/ Deep learning
/ Definitions
/ GAI
/ GenAI
/ generative AI
/ Generative artificial intelligence
/ Industry 4.0
/ Language processing
/ Machine learning
/ Medicine
/ Natural language interfaces
/ Pattern Recognition
/ Recommender systems
/ Supervisors
/ Symbolic Learning
/ Teaching Methods
2024
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Journal Article
A Primer on Generative Artificial Intelligence
2024
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Overview
Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some of the basic concepts of AI and Gen-AI. The approach of this explanatory paper is first to introduce some of the underlying concepts, such as artificial intelligence, machine learning, deep learning, artificial neural networks, and large language models (LLMs), that would allow the reader to better understand generative AI. The paper also discusses some of the applications and implications of generative AI on businesses and education, followed by the current challenges associated with generative AI.
Publisher
MDPI AG
Subject
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