GShard is a module offering a solution to the challenge of scaling neural networks with vast amounts of data and compute. It is composed of two parts – conditional computation and automatic sharding.
Benefits of GShard include:
Improved model quality, Reduced computation cost, Easier programming, and Efficient implementation on parallel devices.
GShard can be used to leverage the power of GPT text generation for applications such as natural language processing, automated machine learning, dialogue systems, and conversational agents.
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