Overview of our two-stage fine-tuning strategy. We run prompt-tuning at

Overview of our two-stage fine-tuning strategy. We run prompt

Jeff Dean (@🏡) on X: Prompt tuning is a clever way to use the

Colossal-AI A Unified Deep Learning System For Large-Scale Parallel Training (HP_哔哩哔哩_bilibili

Cho-Jui HSIEH, University of Texas at Austin, TX, UT, Department of Computer Science

Adapting P-Tuning to Solve Non-English Downstream Tasks

Transfer learning experimental setup. Prompt Tuning: a single prompt of

Unlocking the Potential of Prompt Flow: An Illustrative Example of

MetaICL Learning to Learn In Context (NAACL 2022)_哔哩哔哩_bilibili

Fine Tuning vs. Prompt Engineering Large Language Models •

Scaling Instruction-Finetuned Language Models

PDF) Preserving In-Context Learning ability in Large Language Model Fine-tuning