From 8f404d9d57001682d9ea8c6f0070fb809d8e62c0 Mon Sep 17 00:00:00 2001
From: Daniel King <43149077+dakinggg@users.noreply.github.com>
Date: Tue, 26 Mar 2024 13:37:46 -0700
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index aea0e698..e9083652 100644
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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