Formal Aspects of Language Modeling

Fuente: arXiv
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Main Authors: Cotterell, Ryan, Svete, Anej, Meister, Clara, Liu, Tianyu, Du, Li
Format: Preprint
Published: 2023
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author Cotterell, Ryan
Svete, Anej
Meister, Clara
Liu, Tianyu
Du, Li
author_facet Cotterell, Ryan
Svete, Anej
Meister, Clara
Liu, Tianyu
Du, Li
contents Large language models have become one of the most commonly deployed NLP inventions. In the past half-decade, their integration into core natural language processing tools has dramatically increased the performance of such tools, and they have entered the public discourse surrounding artificial intelligence. Consequently, it is important for both developers and researchers alike to understand the mathematical foundations of large language models, as well as how to implement them. These notes are the accompaniment to the theoretical portion of the ETH Zürich course on large language models, covering what constitutes a language model from a formal, theoretical perspective.
format Preprint
id arxiv_https___arxiv_org_abs_2311_04329
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Formal Aspects of Language Modeling
Cotterell, Ryan
Svete, Anej
Meister, Clara
Liu, Tianyu
Du, Li
Computation and Language
Large language models have become one of the most commonly deployed NLP inventions. In the past half-decade, their integration into core natural language processing tools has dramatically increased the performance of such tools, and they have entered the public discourse surrounding artificial intelligence. Consequently, it is important for both developers and researchers alike to understand the mathematical foundations of large language models, as well as how to implement them. These notes are the accompaniment to the theoretical portion of the ETH Zürich course on large language models, covering what constitutes a language model from a formal, theoretical perspective.
title Formal Aspects of Language Modeling
topic Computation and Language
url https://arxiv.org/abs/2311.04329