ML System
47
LLM Systems Assignment 5: Distributed Training and Fine-Tuning
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
GPipe: Easy Scaling with Micro-Batch Pipeline Parallelism
LLM Systems 18: Memory Optimization in Distributed Training
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数据库
16
读论文
6
DB 论文阅读:2005~2024 近 20 年数据库领域回顾
DB 论文阅读:关系型数据库在 ANNS 上为什么慢?
DB 论文阅读:Product Quantization for Nearest Neighbor Search
DB 论文阅读:Hierarchical Navigable Small World
DB 论文阅读:Approximate nearest neighbor algorithm based on navigable small world graphs
DB 论文阅读:A Relational Model of Data for Large Shared Data Banks