Summary of Data-prep-kit: Getting Your Data Ready For Llm Application Development, by David Wood et al.
Data-Prep-Kit: getting your data ready for LLM application developmentby David Wood, Boris Lublinsky, Alexy Roytman,…
Data-Prep-Kit: getting your data ready for LLM application developmentby David Wood, Boris Lublinsky, Alexy Roytman,…
Block-Attention for Efficient RAGby East Sun, Yan Wang, Lan TianFirst submitted to arxiv on: 14…
QMOS: Enhancing LLMs for Telecommunication with Question Masked loss and Option Shufflingby Blessed Guda, Gabrial…
Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Modelsby Bryan Zhang, Taichi…
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generationby Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao…
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reportsby Mohamed…
Language Models “Grok” to Copyby Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui YanFirst…
Synthetic continued pretrainingby Zitong Yang, Neil Band, Shuangping Li, Emmanuel Candès, Tatsunori HashimotoFirst submitted to…
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain…