Introduction and History of Language Models in Research

Kashif Naseer Qureshi, Gwanggil Jeon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter provides an introduction and historical overview of language models in research. Language models play a fundamental role in natural language processing and have witnessed significant advancements over the years. The chapter begins by defining language models and highlighting their importance in various applications such as machine translation, speech recognition, and text generation. The chapter also highlights the current trends and future directions in language model research, including the rise of transformer models and the exploration of unsupervised and self-supervised learning techniques. This comprehensive overview serves as a valuable resource for researchers and practitioners seeking to understand the evolution and significance of language models in the field of natural language processing.

Original languageEnglish
Title of host publicationNext Generation AI Language Models in Research
Subtitle of host publicationPromising Perspectives and Valid Concerns
PublisherCRC Press
Pages1-24
Number of pages24
ISBN (Electronic)9781040157329
ISBN (Print)9781032667935
DOIs
Publication statusPublished - 1 Jan 2024

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