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Update README.md #98

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MegaBlocks is a light-weight library for mixture-of-experts (MoE) training. The core of the system is efficient "dropless-MoE" ([dMoE](megablocks/layers/dmoe.py), [paper](https://arxiv.org/abs/2211.15841)) and standard [MoE](megablocks/layers/moe.py) layers.

MegaBlocks is built on top of [Megatron-LM](https://github.com/NVIDIA/Megatron-LM), where we support data, expert and pipeline parallel training of MoEs. We're working on extending more frameworks to support MegaBlocks.
MegaBlocks is integrated with [Megatron-LM](https://github.com/NVIDIA/Megatron-LM), where we support data, expert and pipeline parallel training of MoEs. Stay tuned for tighter integration with Databricks libraries and tools!

# :rocket: Performance

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