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The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

A Primer on Generative Artificial Intelligence

Open access
Kalota, Faisal·2024·Education Sciences

Abstract

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.

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Metadata

Authors
Kalota, F.
Venue
Education Sciences
Publisher
MDPI AG
Published
2024-02-07
Volume
14
Issue
2
Pages
172
ISSN
2227-7102 (ISSN-L)
OpenAlex
W4391615642
Cited by
177
References
26
FWCI
26.34
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Primer on Generative Artificial Intelligence. https://app.cochat.ai/papers/10.3390/educsci14020172
The paper
Kalota, F. (2024). A Primer on Generative Artificial Intelligence. Education Sciences. https://doi.org/10.3390/educsci14020172

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.