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Books on the topic 'Generative Large Language Model'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Marcondes, Francisco S., Adelino Gala, Renata Magalhães, Fernando Perez de Britto, Dalila Durães, and Paulo Novais. Natural Language Analytics with Generative Large-Language Models. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-76631-2.

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2

Bobrowski, Ireneusz. Składniowy model polszczyzny. Wydawn. Lexis, 2005.

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3

Kibre, Nicholas J. A model of mutation in Welsh. Indiana University Linguistics Club Publications, 1997.

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4

Satō, Hideto. A data model, knowledge base, and natural language processing for sharing a large statistical database. Institute of Social and Economic Research, Osaka University, 1989.

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5

Bashkatov, Alexander. Modeling in OpenSCAD: examples. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/959073.

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The tutorial is an introductory course to the study of the basics of geometric modeling for 3D printing using the programming language OpenSCAD and is built on the basis of descriptions of instructions for creating primitives, determining their properties, carrying out transformations and other service operations. It contains a large number of examples with detailed comments and description of the performed actions, which allows you to get basic skills in creating three-dimensional and flat models, exporting and importing graphical data. Meets the requirements of the Federal state educat

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6

Generative AI with LangChain: Build Large Language Model Apps with Python, ChatGPT and Other LLMs. Packt Publishing, Limited, 2023.

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7

Generative AI with LangChain: Build Large Language Model Apps with Python, ChatGPT, and Other LLMs. de Gruyter GmbH, Walter, 2023.

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8

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications. Wiley & Sons, Limited, John, 2024.

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9

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications. Wiley & Sons, Incorporated, John, 2024.

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10

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications. Wiley & Sons, Incorporated, John, 2024.

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11

Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3. de Gruyter GmbH, Walter, 2024.

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12

Build a Large Language Model (from Scratch). Manning Publications Co. LLC, 2024.

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13

Dever e poder: Um subsistema model do Português. Fundação Calouste Gulbenkian, 1998.

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14

Schulz, Volker. A Structuralist-generative Model of Literary Narrative: The Theory And Practice of Analyzing Fiction (Littera. Studies In Language And Literature - Studien Zur Sp). Peter Lang Publishing, 2006.

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15

A Structuralist-generative Model of Literary Narrative: The Theory And Practice of Analyzing Fiction (Littera. Studies In Language And Literature - Studien Zur Sp). Peter Lang Publishing, 2006.

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16

Alto, Valentina. Ultimate Guide to ChatGPT and OpenAI: Harness the Capabilities of OpenAIs Large Language Model for Productivity and Innovation with GPT Technologies. Packt Publishing, Limited, 2023.

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17

the power of prompt. Higher Institute of Science and Technology, 2023.

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18

Ola Kristensson, Per. Statistical Language Processing for Text Entry. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0003.

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In this chapter we explain how methods from statistical language processing serve as a foundation for the design of probabilistic text entry methods and error correction methods. We review concepts from information theory and language modelling and explain how to design a statistical decoder for text entry—a generative probabilistic model based on the token-passing paradigm. We then present five example applications of statistical language processing for text entry: correcting typing mistakes, enabling fast typing on a smartwatch, improving prediction in augmentative and alternative communicat

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19

Defoe, Daniel. Robinson Crusoe: An Adventure Story with a Press-out Model to Make. Collins, 1986.

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20

Constantinesco, Thomas. Writing Pain in the Nineteenth-Century United States. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192855596.001.0001.

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This book examines how pain is represented in a range of literary texts and genres from the nineteenth-century United States. It considers the aesthetic, philosophical, and ethical implications of pain across the works of Ralph Waldo Emerson, Harriet Jacobs, Emily Dickinson, Henry James, Elizabeth Stuart Phelps, and Alice James, as the national culture of pain progressively transformed in the wake of the invention of anesthesia. Through these writers, it argues that pain, while undeniably destructive, also generates language and identities, and demonstrates how literature participates in theor

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21

Kopley, Emily. Virginia Woolf and Poetry. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198850861.001.0001.

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Virginia Woolf’s career was shaped by her impression of the conflict between poetry and the novel, a conflict she often figured as one between masculine and feminine, old and new, bound and free. In large part for feminist reasons, Woolf promoted the triumph of the novel over poetry, even as she adapted some of poetry’s techniques for the novel in order to portray the inner life. Woolf considered poetry the rival form to the novel. A monograph on Woolf’s sense of generic rivalry thus offers a thorough reinterpretation of the motivations and aims of her canonical work. Drawing on unpublished ar

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22

Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.

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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip it

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23

Liang, Percy, Michael Jordan, and Dan Klein. Probabilistic grammars and hierarchical Dirichlet processes. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.27.

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This article focuses on the use of probabilistic context-free grammars (PCFGs) in natural language processing involving a large-scale natural language parsing task. It describes detailed, highly-structured Bayesian modelling in which model dimension and complexity responds naturally to observed data. The framework, termed hierarchical Dirichlet process probabilistic context-free grammar (HDP-PCFG), involves structured hierarchical Dirichlet process modelling and customized model fitting via variational methods to address the problem of syntactic parsing and the underlying problems of grammar i

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24

Lamel, Lori, and Jean-Luc Gauvain. Speech Recognition. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0016.

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Speech recognition is concerned with converting the speech waveform, an acoustic signal, into a sequence of words. Today's approaches are based on a statistical modellization of the speech signal. This article provides an overview of the main topics addressed in speech recognition, which are, acoustic-phonetic modelling, lexical representation, language modelling, decoding, and model adaptation. Language models are used in speech recognition to estimate the probability of word sequences. The main components of a generic speech recognition system are, main knowledge sources, feature analysis, a

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25

Stemmer, Brigitte. Neuropragmatics. Edited by Yan Huang. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199697960.013.003.

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This essay summarizes the findings of studies investigating aspects of linguistic pragmatic behaviour and the brain correlates underlying such behaviour. Although pragmatics is a large field, most brain-oriented studies have focused on specific aspects of linguistic pragmatics such as structural discourse and figurative language. Research indicates that linguistic pragmatic behaviour relies on brain correlates that are routinely activated during word and sentence processing (the default language network). Although no agreement has yet been reached concerning questions such as whether these cor

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26

Strelluf, Christopher, and Matthew J. Gordon. Origins of Missouri English. Rowman & Littlefield, 2023. https://doi.org/10.5040/9781978735118.

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Missouri lies at a regional crossroads where the Midwest meets the South and the West begins. The contemporary dialect picture of the state reflects this blend of influences. Depending on their backgrounds, Missourians may share speech features with Chicagoans, Kentuckians, or Californians. The authors explore the history behind this current linguistic variation by listening to the voices of Missourians born between the 1880s and the 1930s. Drawing on a corpus of archival recordings, this book documents the unique linguistic features that characterized Missouri dialects over a century ago. Sta

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27

Miller, Robin, and Kate Hinnant. Making Surveys Work for Your Library. ABC-CLIO, LLC, 2018. http://dx.doi.org/10.5040/9798400681707.

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Instead of using expensive off-the-shelf surveys or relying on a poorly worded survey, read Making Surveys Work for Your Library and design your own that collect actionable data. Library listservs and websites are littered with examples of surveys that are too long, freighted with complex language, and generally poorly designed. The survey, however, is a widely used tool that has great potential if designed well. Libraries can implement surveys for a variety of purposes, including planning, program evaluation, collection development, and space design. Making Surveys Work for Your Library: Guid

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28

Meddings, Jennifer, Vineet Chopra, and Sanjay Saint. Preventing Hospital Infections. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197509159.001.0001.

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This book provides a detailed, step-by-step description of a model quality improvement intervention for hospitals, pinpointing the obstacles and showing how to surmount them. This second edition has been carefully updated, with new material describing some technical aspects of infection prevention, new tools for use by front-line providers, and results of recent large collaborative infection prevention studies. In easy-to-read, user-friendly language, it explains why clinicians neglect or actively oppose quality changes—from physicians who distrust change, to nurses who want to protect their t

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29

Johansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.

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Nationalism: Past as Prologue began as a single volume being compiled by Ad Akande, a scholar from South Africa, who proposed it to me as co-author about two years ago. The original idea was to examine how the damaging roots of nationalism have been corroding political systems around the world, and creating dangerous obstacles for necessary international cooperation. Since I (Bruce E. Johansen) has written profusely about climate change (global warming, a.k.a. infrared forcing), I suggested a concerted effort in that direction. This is a worldwide existential threat that affects every living t

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