research
∙
09/02/2023
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model
Text-to-image generation (TTI) refers to the usage of models that could ...
share
research
∙
06/30/2022
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale
The past several years have witnessed the success of transformer-based m...
research
∙
01/31/2022
Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism
Nearest Neighbor Search (NNS) has recently drawn a rapid increase of int...
research
∙
01/14/2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
As the training of giant dense models hits the boundary on the availabil...
research
∙
08/13/2021
Curriculum Learning: A Regularization Method for Efficient and Stable Billion-Scale GPT Model Pre-Training
Recent works have demonstrated great success in training high-capacity a...
research
∙
07/27/2021
Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
Graph-based algorithms have shown great empirical potential for the appr...
research
∙
11/04/2019
