This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
总结Prompt&LLM论文,开源数据&模型,AIGC应用
Efficient few-shot learning with Sentence Transformers
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
Physics-guided augmentation and multi-scale Transformer learning for low-resource spectroscopy; CNMM-MSST XRF implementation optimized based on the JAAS paper.