Read Artificial Intelligence and Librarianship: Notes for Teaching

Artificial Intelligence and Librarianship: Notes for Teaching

Martin Frické

4.9/5 (32847 ratings)

Description:Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.Contents:Chapter 0: Some Theoretical Background to Librarianship Chapter 1: Intellectual Background Chapter 2: Chatbots Chapter 3: Language Models Chapter 4: Large Language Models Chapter 5: Bias Chapter 6: Bias in Machine Learning and Librarianship Chapter 7: What Might Natural Language Processing (NLP) Bring to Librarianship? Chapter 8: What are the Opportunities for Librarians? Chapter 9: Librarians as Synergists Chapter 10: Librarians as Sentries Chapter 11: Librarians as Educators Chapter 12: Librarians as Managers Chapter 13: Librarians as Astronauts Appendix A: Working With LLMs Appendix B: Two Important Methodological Points Appendix C: Causal DiagramsBibliographyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Artificial Intelligence and Librarianship: Notes for Teaching. To get started finding Artificial Intelligence and Librarianship: Notes for Teaching, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 510

Format: PDF, EPUB & Kindle Edition

Publisher: SoftOption

Release: 2024

ISBN: 0473686821

Description: Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.Contents:Chapter 0: Some Theoretical Background to Librarianship Chapter 1: Intellectual Background Chapter 2: Chatbots Chapter 3: Language Models Chapter 4: Large Language Models Chapter 5: Bias Chapter 6: Bias in Machine Learning and Librarianship Chapter 7: What Might Natural Language Processing (NLP) Bring to Librarianship? Chapter 8: What are the Opportunities for Librarians? Chapter 9: Librarians as Synergists Chapter 10: Librarians as Sentries Chapter 11: Librarians as Educators Chapter 12: Librarians as Managers Chapter 13: Librarians as Astronauts Appendix A: Working With LLMs Appendix B: Two Important Methodological Points Appendix C: Causal DiagramsBibliographyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Artificial Intelligence and Librarianship: Notes for Teaching. To get started finding Artificial Intelligence and Librarianship: Notes for Teaching, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Artificial Intelligence and Librarianship: Notes for Teaching

Artificial Intelligence and Librarianship: Notes for Teaching

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