Implementing DeepSpeed for Scalable Transformers: Advanced Training with Gradient Checkpointing and Parallelism
Anzeige
Ähnliche Artikel
arXiv – cs.AI
•
Design and Analysis of Parallel Artificial Protozoa Optimizer (P-APO) using CUDA Architecture
arXiv – cs.LG
•
Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
MarkTechPost
•
PyTest meistern: Mit Plugins, Fixtures und JSON-Bericht automatisierte Tests bauen
arXiv – cs.LG
•
AERIS: Argonne Earth Systems Model for Reliable and Skillful Predictions
arXiv – cs.LG
•
MoE-Compression: How the Compression Error of Experts Affects the Inference Accuracy of MoE Model?
arXiv – cs.LG
•
Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference