Assessing Task-Specific Performance Gains from Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models

Additional Metadata
Keywords	Large language models; Lora; finetuning; Llama-2; Natural Language Processing; AI; Machine Learning
Thesis Advisor	Bouman, PC
Persistent URL	hdl.handle.net/2105/73000
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Verdonk, P.A.J. (2024). Assessing Task-Specific Performance Gains from Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models. In Econometrie.http://hdl.handle.net/2105/73000

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