大模型并行优化大模型并行优化为什么要并行优化?大就是好, 虽然丛2019年人们的认识普遍就是大就是好, 这个概念在当今依然没有被改变, 只是有了更深刻的认识. 所以, 为什么要并行? 虽然大就是好, 模型太大显存吃不消(空间). 虽然大就是好2023-06-01 深度学习并行计算 分布式 ZeRO QIDN: Query-based Instance Discrimination Network for Relational Triple ExtractionQuery-based Instance Discrimination Network for Relational Triple Extraction本文是论文Query-based Instance Discrimination Net2023-02-10 深度学习RTE ERE UniRel: Unified Representation and Interaction for Joint Relational Triple ExtractionUniRel: Unified Representation and Interaction for Joint Relational Triple Extraction本文是论文UniRel: Unified Representation2023-01-03 深度学习RTE OneEE: A One-Stage Framework for Fast Overlapping and Nested Event ExtractionOneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction本文是论文OneEE: A One-Stage Framework for Fast2022-11-21 深度学习EE W2NER: Unified Named Entity Recognition as Word - Word Relation ClassificationW2NER: Unified Named Entity Recognition as Word - Word Relation Classification本文是论文Unified Named Entity Recognition as W2022-10-16 深度学习NER UniRE: A Unified Label Space for Entity Relation ExtractionUniRE: A Unified Label Space for Entity Relation Extraction本文是论文UniRE: A Unified Label Space for Entity Relation Extract2022-09-22 深度学习ERE DirectRel: Relational Triple Extraction - One Step is EnoughRelational Triple Extraction: One Step is Enough本文是论文Relational Triple Extraction: One Step is Enough 的阅读笔记和个人理解, 论文来自IJ2022-08-31 深度学习RTE OneRel: Joint Entity and Relation Extraction with One Module in One Step本文前置知识: TPLinker: TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking. OneR2022-08-14 深度学习RTE Pytorch学习: Pytorch LightningPytorch学习: Pytorch LightningPytorch Lightning是在Pytorch基础上封装的框架, 号称”Pytorch里的Keras”, 如官网所述, 它具有灵活, 解耦, 易于复现, 自动化, 扩展性好等优点2022-08-14 深度学习编程 pytorch RFBFN: A Relation - First Blank Filling Network for Joint Relational Triple Extraction本文前置知识: SPN: SPN: Joint Entity and Relation Extraction with Set Prediction Networks. RFBFN: A Relation - First Blank2022-07-09 深度学习RTE SPN: Joint Entity and Relation Extraction with Set Prediction NetworksJoint Entity and Relation Extraction with Set Prediction Networks本文是论文Joint Entity and Relation Extraction with Set Pred2022-06-22 深度学习RTE GRTE: A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling本文前置知识: CasRel: 详见CasRel: A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. TPLinker: 详见TPLin2022-06-02 深度学习RTE