
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
|
|
- Title: Understanding Large Language Models
- Author(s) Jenny Kunz
- Publisher: Linköping University (2024); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: N/A
- eBook: PDF
- Language: English
- ISBN-10: N/A
- ISBN-13: N/A
- Share This:
![]() |
This practical book offers clear, example-rich explanations of how Large Language Models (LLM) work, how you can interact with them, and how to integrate LLMs into your own applications.
About the Authors- N/A
- Machine Learning
- Natural Language Processing (NLP)
- Computational Linguistics
- Information Retrieval (IR) and Search Engines Design/Implementation

- Understanding Large Language Models (Jenny Kunz)
- A Comprehensive Overview of Large Language Models (Humza Naveed, et al.)
-
Foundations of Large Language Models (Tong Xiao, et al.)
This is a book about Large Language Models (LLM). It primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies: pre-training, generative models, prompting techniques, and alignment methods.
-
Large Language Models in Cybersecurity: Threats and Mitigation
This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful Large Language Models (LLM) and how they can be mitigated.
-
Foundation Models for Natural Language Processing
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts.
-
Representation Learning for Natural Language Processing
This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models.
-
Speech and Language Processing (Dan Jurafsky, et al)
This text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. It describes a unified vision of speech and language processing. Emphasis is on practical and scientific applications.
-
Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment, provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring and beyond.
-
Advancing Natural Language Processing in Educational Assessment
This book examines the use of natural language technology in educational testing, measurement, and assessment, provides evidence-based practices for the use of NLP-based approaches to automated text and speech scoring and beyond.
-
O'Reilly® Natural Language Processing with Python
This book offers a highly accessible introduction to natural language processing (NLP), the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation.
-
Natural Language Processing Succinctly (Joseph Booth)
This book will guide readers through designing a simple system that can interpret and provide reasonable responses to written English text. With this foundation, readers will be prepared to tackle the greater challenges of natural language development.
-
Natural Language Processing for the Working Programmer
This book is a guide to the wonderful world of language processing for the practical working programmer, using Haskell. It is about that type of information - techniques that so-called computational linguists use to analyze the structure of human language.
:
|
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |
|
![]() |