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Large Language Models

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Academic paper
0

Academic Paper attributes

arXiv ID
2307.057820
arXiv Classification
Computer science
Computer science
0
Publication URL
arxiv.org/pdf/2307.0...82.pdf0
Publisher
ArXiv
ArXiv
0
DOI
doi.org/10.48550/ar...07.057820
Paid/Free
Free0
Academic Discipline
Mathematics
Mathematics
0
Computational physics
Computational physics
0
Physics
Physics
0
Computer science
Computer science
0
Particle physics
Particle physics
0
Submission Date
October 6, 2023
0
July 11, 2023
0
Author Names
Michael R. Douglas0
Paper abstract

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAIs GPT series. In these lectures, written for readers with a background in mathematics or physics, we give a brief history and survey of the state of the art, and describe the underlying transformer architecture in detail. We then explore some current ideas on how LLMs work and how models trained to predict the next word in a text are able to perform other tasks displaying intelligence.

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