Jul 8, 2024 · We propose PAS, an LLM-based plug-and-play APE system. PAS utilizes LLMs trained on high-quality, automatically generated prompt complementary datasets, ...
Our PAS model requires only 9000 pairs of prompt complementary data to fine-tune LLMs, making it extremely data-efficient. Additionally, our data generation ...
Sep 24, 2024 · We propose PAS, an LLM-based plug-and-play APE system. PAS utilizes LLMs trained on high-quality, automatically generated prompt complementary datasets.
We propose PAS, an LLM-based plug-and-play APE system. PAS utilizes LLMs trained on high-quality, automatically generated prompt complementary datasets.
Jul 8, 2024 · PAS utilizes LLMs trained on high-quality, automatically generated prompt complementary datasets, resulting in exceptional performance. In ...
Moreover, PAS is highly efficient, achieving SOTA performance with only. 9000 data points. Additionally, PAS can autonomously generate prompt augmen- tation ...
Jul 12, 2024 · We propose PAS, anLLM-based plug-and-play APE system. PAS utilizes LLMs trained on high-quality,automatically generated prompt complementary datasets.
People also ask
What is prompt augmentation?
Jul 17, 2024 · PAS addresses these limitations by providing a plug-and-play APE (automatic prompt engineering) system that is easy to use and delivers state-of ...
Jul 8, 2024 · PAS: Data-Efficient Plug-and-Play Prompt Augmentation System ... This combination of high performance, efficiency, and flexibility makes PAS a ...
Aug 8, 2024 · PAS is a tool that helps make large language models (like GPT-3 or BERT) better at doing different tasks. These language models are powerful, ...