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docs: update README.md #22

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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -3,7 +3,7 @@
## What is it?

[Monolith](https://arxiv.org/abs/2209.07663) is a deep learning framework for large scale recommendation modeling. It introduces two important features which are crucial for advanced recommendation system:
* collisionless embedding tables guarantees unique represeantion for different id features
* collisionless embedding tables guarantees unique representation for different id features
* real time training captures the latest hotspots and help users to discover new intersts rapidly

Monolith is built on the top of TensorFlow and supports batch/real-time training and serving.
Expand Down Expand Up @@ -43,4 +43,4 @@ bazel run //monolith/native_training:demo --output_filter=IGNORE_LOGS

### Demo and tutorials

There are a tutorial in [markdown/demo](markdown/demo) on how to run distributed async training, and few guides on how to use the `MonolithModel` API [here](markdown).
There are a tutorial in [markdown/demo](markdown/demo) on how to run distributed async training, and few guides on how to use the `MonolithModel` API [here](markdown).