PIQARD System for Experimenting and Testing Language Models with Prompting Strategies
Abstract
Large Language Models (LLMs) have seen a surge in popularity due to their impressive results in natural language processing tasks, but there are still challenges to be addressed. Prompting in the question is a solution for some of them. In this paper, we present PIQARD, an open-source Python library that allows researchers to experiment with prompting techniques and information retrieval, and combine them with LLMs. This library includes pre-implemented components and also allows users to integrate their own methods.
Cite
Text
Korcz et al. "PIQARD System for Experimenting and Testing Language Models with Prompting Strategies." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. doi:10.1007/978-3-031-43430-3_23Markdown
[Korcz et al. "PIQARD System for Experimenting and Testing Language Models with Prompting Strategies." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023.](https://mlanthology.org/ecmlpkdd/2023/korcz2023ecmlpkdd-piqard/) doi:10.1007/978-3-031-43430-3_23BibTeX
@inproceedings{korcz2023ecmlpkdd-piqard,
title = {{PIQARD System for Experimenting and Testing Language Models with Prompting Strategies}},
author = {Korcz, Marcin and Plaskowski, Dawid and Politycki, Mateusz and Stefanowski, Jerzy and Terentowicz, Alex},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2023},
pages = {320-323},
doi = {10.1007/978-3-031-43430-3_23},
url = {https://mlanthology.org/ecmlpkdd/2023/korcz2023ecmlpkdd-piqard/}
}