Generative AI is not Magic

Although the capabilities of large language models are astonishing and exceed the expectations most researchers had about the potential of language modeling, these models are not complete black boxes, and the principles of how these systems work are not too difficult to understand. We show what theories, methods and skills can contribute to a basic understanding of large language models and how these can fit into a curriculum for students with and without a strong background in mathematics and computer science.

Publication Details

Journal
SerWisS (University of Applied Sciences and Arts Hannover)
Published
2024-12-20
DOI
https://doi.org/10.25968/opus-3450
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Generative AI is not Magic

SerWisS (University of Applied Sciences and Arts Hannover)
Topic Modeling
article

Generative AI is not Magic

article en

Abstract

Although the capabilities of large language models are astonishing and exceed the expectations most researchers had about the potential of language modeling, these models are not complete black boxes, and the principles of how these systems work are not too difficult to understand. We show what theories, methods and skills can contribute to a basic understanding of large language models and how these can fit into a curriculum for students with and without a strong background in mathematics and computer science.

SerWisS (University of Applied Sciences and Arts Hannover)
Quality Education
Openalex Percentile: Top 69%
Topic Modeling
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Generative AI is not Magic · SerWisS (University of Applied Sciences and Arts Hannover) (2024) | TGRS Research Map | TGRS