Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs

Efficient Fine-Tuning Methods for Portuguese Question Answering: A Comparative Study of PEFT on BERTimbau and Exploratory Evaluation of Generative LLMs explores This research offers efficient fine-tuning methods for Portuguese question answering, demonstrating significant computational cost reductions compared to generative LLMs.. Commercial viability score: 7/10 in LLM Fine-Tuning.