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Found 3 papers, 1 papers with code
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model
To fill such a gap, we introduce a scalable inference solution: Easy and Efficient Transformer (EET), including a series of transformer inference optimization at the algorithm and implementation levels.
Easy and Efficient Transformer : Scalable Inference Solution For large NLP model
To fill such a gap, we introduce a scalable inference solution: Easy and Efficient Transformer (EET), including a series of transformer inference optimization at the algorithm and implementation levels.
RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems
In this work, we consider using model-based reinforcement learning (RL) to learn the optimal control policy for queueing networks so that the average job delay (or equivalently the average queue backlog) is minimized.
Model-based Reinforcement Learning
reinforcement-learning
+1
