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The book’s prefatory material explains that fast-moving developments can become outdated, and the third edition updates content including a new chapter on evaluation and the future and expanded coverage of current large language and multimodal models. The table of contents structures learning from AI foundations through machine learning types and algorithms, then to chatbots and modern language-model topics.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/artificial-intelligence-and-librarianship-notes-for-teaching-3rd-edition/605527/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/artificial-intelligence-and-librarianship-notes-for-teaching-3rd-edition/605527.png","ImageObject",300,407,{"name":92,"@type":93},"Elsa","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-16",true,{"@type":102,"interactionType":103,"userInteractionCount":34},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What changes were added in the 3rd edition?","Question",{"text":112,"@type":113},"The third edition includes a new Chapter 6 on evaluation and the future, new materials in Chapter 5 on current large language and multimodal models, plus scattered revisions, corrections, and updates.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"Which topics are covered in the early chapters on AI foundations?",{"text":117,"@type":113},"Chapter 1 covers AI’s intellectual background, including digitization and transcription, structured digital text, text-to-speech, machine translation, search and navigation, preservation and archiving, and an overview of machine learning types and algorithms.",{"name":119,"@type":110,"acceptedAnswer":120},"What kinds of systems are discussed under chatbots and language models?",{"text":121,"@type":113},"Chapter 2 covers chatbot history and models such as ELIZA, ALICE, and ChatGPT, including task-oriented approaches and GPTs. 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(Wanaka, NZ) . Email: support@SoftOption.Us  \nThis work is licensed under CC BY 4.0. To view a copy of this license, visit [http://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/licenses/by/4.0/)  \nThis license requires that reusers give credit to the creator. It allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, even for commercial purposes.  \nCover Image: Charles Willson Peale, The Artist in his Museum 1822  \nAuthor’s Note  \nThis intellectual area, and its practical applications, are advancing rapidly. This poses a problem for a book of this kind. Basically, some of it will always be going out of date. Sorry.  \n7/4/2024  \nPreface  \nThe third edition has changes and additions. These include:  \n• a new Chapter 6 on evaluation and the future  \n• new materials in Chapter 5 on current large language and multimodal models  \n• scattered revisions, corrections, and updates.  \nTable of Contents  \nCHAPTER 1: INTELLECTUAL BACKGROUND ..........................................18  \n1.1 Introduction to Artificial Intelligence ..................................................18  \n1.2 A Genuine Great Leap Forward .......................................................... 24  \n1.3 Digitization and Transcription ............................................................ 26  \n1.4 A Paean to Text in Structured Digital Form ....................................... 29  \n1.4.1 Text-to-Speech ..................................................................................................29  \n1.4.2 Machine Translation ........................................................................................30  \n1.4.3 Search and Navigation......................................................................................32  \n1.4.4 Preservation and Archiving ..............................................................................33  \n1.4.5 Free Books! .......................................................................................................33  \n1.4.6 Natural Language Processing...........................................................................33  \n1.4.7 Processing by Computer Software....................................................................34  \n1.5 Data and the Need for Good Data ....................................................... 34  \n1.6 Types of Machine Learning................................................................. 37  \n1.6.1 Supervised ......................................................................................................... 37  \n1.6.2 Unsupervised ....................................................................................................39  \n1.6.3 Semi-Supervised .............................................................................................. 40  \n1.6.4 Self-Supervised ................................................................................................. 41  \n1.6.5 Reinforcement ..................................................................................................43  \n1.6.6 Reinforcement Learning from Human Feedback (RLHF) ..............................45  \n1.7 The Concept of Algorithm ................................................................... 46  \n1.8 Annotated Readings for Chapter 1 ...................................................... 48  \nCHAPTER 2: CHATBOTS ............................................................................ 50  \n2.1 Introduction ........................................................................................ 50  \n2.2 Dialog Processing.................................................................................51  \n2.3 ELIZA to ALICE .........................................","cbCaid6o43b7vObb","https://ap.wps.com/l/cbCaid6o43b7vObb","pdf",37589104,533,"English","# CHAPTER 1: INTELLECTUAL BACKGROUND\n## 1.1 Introduction to Artificial Intelligence\n## 1.4 A Paean to Text in Structured Digital Form\n## 1.6 Types of Machine Learning\n## 1.7 The Concept of Algorithm\n# CHAPTER 2: CHATBOTS\n## 2.1 Introduction\n## 2.3 ELIZA to ALICE\n## 2.4 The Turing Test\n## 2.7 ChatGPT\n## 2.9 GPTs\n# CHAPTER 3: LANGUAGE MODELS\n## 3.1 Introduction\n## 3.2 Markov Chains\n## 3.4 Shannon's Guessing Game\n## 3.5 Taylor's Cloze Procedure\n## 3.7 Embeddings","[{\"question\":\"What changes were added in the 3rd edition?\",\"answer\":\"The third edition includes a new Chapter 6 on evaluation and the future, new materials in Chapter 5 on current large language and multimodal models, plus scattered revisions, corrections, and updates.\"},{\"question\":\"Which topics are covered in the early chapters on AI foundations?\",\"answer\":\"Chapter 1 covers AI’s intellectual background, including digitization and transcription, structured digital text, text-to-speech, machine translation, search and navigation, preservation and archiving, and an overview of machine learning types and algorithms.\"},{\"question\":\"What kinds of systems are discussed under chatbots and language models?\",\"answer\":\"Chapter 2 covers chatbot history and models such as ELIZA, ALICE, and ChatGPT, including task-oriented approaches and GPTs. Chapter 3 focuses on language models with topics like Markov chains, hidden Markov models, Shannon’s guessing game, cloze procedures, and embeddings.\"}]","Artificial Intelligence and Librarianship - Notes for Teaching - 3rd Edition | PDF",1792132537,1343]