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Update post_training readme.md #40

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2 changes: 1 addition & 1 deletion cosmos1/models/diffusion/nemo/post_training/README.md
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@@ -131,7 +131,7 @@ Executing the [data preprocessing script](./prepare_dataset.py) generates the fo

### 3. Post-train the Model

The third step is to post-train the model. This step uses NeMo Framework's data and model parallelism capabilities to train the model on the post-training samples. This is accomplished by using utilizing Fully Sharded Data Parallel (FSDP) and Tensor Parallelism.
The third step is to post-train the model. This step uses NeMo Framework's data and model parallelism capabilities to train the model on the post-training samples. This is accomplished by utilizing Fully Sharded Data Parallel (FSDP) and Tensor Parallelism.

- **FSDP**: Distributes model parameters, optimizer states, and activations across all GPUs
- **Tensor Parallelism**: Spreads the parameter tensor of individual layers across GPUs.