Introducing SEED RL: Revolutionizing Reinforcement Learning
SEED (Scalable, Efficient, Deep-RL) is a powerful reinforcement learning agent that is optimized for…
Understanding Chimera: A Pipeline Model Parallelism Scheme
Chimera is a model parallelism scheme designed to train large-scale models efficiently. Its…
What is PipeTransformer?
PipeTransformer is a novel method for training artificial intelligence models, specifically Transformer models, in a distributed and…
Introduction to HetPipe
HetPipe is a revolutionary parallel method that combines two different approaches, pipelined model parallelism and data parallelism,…
Overview of Mesh-TensorFlow
Mesh-TensorFlow is a programming language used to distribute tensor computations. Like data-parallelism that splits tensors and operations…
What is IMPALA?
IMPALA, which stands for Importance Weighted Actor Learner Architecture, is an off-policy actor-critic framework. The framework separates…
Overview of Gradient Sparsification
Gradient Sparsification is a technique used in distributed machine learning to reduce the communication cost between…