© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
S. R. Solanki, D. K. KhublaniGenerative Artificial Intelligencehttps://doi.org/10.1007/979-8-8688-0403-8_5

5. Large Language Models

Shivam R Solanki1   and Drupad K Khublani2
(1)
Dallas, TX, USA
(2)
Salt Lake City, UT, USA
 

Introduction

Large language models (LLMs) are highly developed and potent neural network models trained on enormous volumes of text data to comprehend and produce language similar to humans. These models have made tremendous strides in recent years thanks to their outstanding performance in various natural language processing applications.

Large language models are intended to capture and understand natural language’s intricate patterns, syntax, ...

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