Large Language Models

Chandrasekar Vuppalapati
Additional contact information
Chandrasekar Vuppalapati: San Jose State University

Chapter Chapter 3 in Assessing Policy Effectiveness using AI and Language Models, 2024, pp 71-131 from Springer

Abstract: Abstract This chapter presents large language models. It begins with LangChain model, and then it covers GPT-2 model and uses GPT model to classify social sustainability and economic sustainability classifiers from the data. The chapter also covers prompt engineering. Finally, it finishes GPT model on budget speeches as shown in Appendix A–F.

Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-031-56097-2_3

Ordering information: This item can be ordered from
http://www.springer.com/9783031560972

DOI: 10.1007/978-3-031-56097-2_3

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().