Chapter 1: Intellectual Background -- Chapter 2: Chatbots -- Chapter 3: Language Models -- Chapter 4: Large Language Models -- Chapter 5: Large Multimodal Models -- Chapter 6: Evaluation and the Future -- Chapter 7: Bias and Unfairness -- Chapter 8: Bias in Machine Learning and Librarianship -- Chapter 9: What Might Natural Language Processing (NLP) Bring to Librarianship? -- Chapter 10: What are the Opportunities for Librarians? -- Chapter 11: Librarians as Synergists -- Chapter 12: Librarians as Sentries -- Chapter 13: Librarians as Educators -- Chapter 14: Librarians as Managers -- Chapter 15: Librarians as Astronauts -- Appendix A: Some Theoretical Background to Librarianship -- Appendix B: Working with LLMS -- Appendix C: Two Important Methodological Points -- Appendix D: Causal Diagrams -- Appendix E: Knowledge Graphs -- Glossary -- Bibliography

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 100,000 words on the topic, with a 4-500 item bibliography. The third edition has changes and additions. These include: a new Chapter 6 on evaluation and the future new materials in Chapter 5 on current large language and multimodal models scattered revisions, corrections, and updates.

Attribution

In English.

Description based on print resource