Large Language Models

By A. Scholtens

Would you like to learn more about Large Language Models (LLMs) and their impact on Natural Language Processing (NLP)? Search no further! Our short, yet informative ebook covers everything from the fundamentals of LLMs, such as language representation and coding, to their diverse applications, including text generation, sentiment analysis, and language translation. We examine the advancements and challenges of LLMs, discuss popular transformer-based models such as GPT-3, and explore ethical considerations such as bias and privacy. Whether you're a researcher, student or practitioner, our ebook provides a solid foundation for anyone interested in cutting-edge technology that is revolutionizing the way we interact with language. With this short introduction you will be up to date quickly.

• Language: English
• Publisher: Sas155
• Release date: Feb 16, 2023
• ISBN: 9798215183885

Book preview

Chapter 1 Introduction

Large Language Models (LLMs) are a type of machine learning model that use artificial neural networks to process and analyze natural language data. This means that LLMs can read, understand, and generate text in a way that is similar to how humans do. They can be trained on vast amounts of natural language data, allowing them to learn patterns and structures in language that can be used to generate new text or make predictions about the meaning of a given sentence.

In recent years, LLMs have become increasingly popular and prominent, especially with the emergence of transformer-based models such as GPT-3, T5, and BERT, among