Summary of A New Pipeline For Generating Instruction Dataset Via Rag and Self Fine-tuning, by Chih-wei Song et al.
A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuningby Chih-Wei Song, Yu-Kai…
A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuningby Chih-Wei Song, Yu-Kai…
Evaluating the Impact of Advanced LLM Techniques on AI-Lecture Tutors for a Robotics Courseby Sebastian…
EfficientRAG: Efficient Retriever for Multi-Hop Question Answeringby Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang,…
Large Language Model as a Catalyst: A Paradigm Shift in Base Station Siting Optimizationby Yanhu…
Development of REGAI: Rubric Enabled Generative Artificial Intelligenceby Zach Johnson, Jeremy StraubFirst submitted to arxiv…
BioRAG: A RAG-LLM Framework for Biological Question Reasoningby Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin…
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questionsby Guangzhi Xiong, Qiao Jin, Xiao Wang,…
Finch: Prompt-guided Key-Value Cache Compressionby Giulio Corallo, Paolo PapottiFirst submitted to arxiv on: 31 Jul…
KemenkeuGPT: Leveraging a Large Language Model on Indonesia’s Government Financial Data and Regulations to Enhance…
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworksby Yunfan Gao, Yun Xiong, Meng Wang,…