diff --git a/README.md b/README.md
index 58a200c..2453778 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,51 @@
 # GPT-Pretrain
 
-## Usage
+# Usage
+
+## Make it simple
 
 ```
-python lit_train.py --model_name gpt2
+python lit_train.py --model_name gpt2 --use_tril_attention_mask
 python lit_export.py --version 0
 python generate.py --model_name_or_path exports/version_0 --tokenizer_name_or_path gpt2
 ```
+> :memo: **Note:** Training with a "--use_tril_attention_mask" is recommended. However, huggingface model implementions might not support 2D attention mask. You may write a custom model to support 2D attention mask, just like what I did in [custom_models/gpt2](https://github.com/Yiqing-Zhou/gpt-pretrain/tree/main/custom_models/gpt2).
+
+## Train on multiple GPUs
+
+```
+python lit_train.py --model_name gpt2 --use_tril_attention_mask --strategy fsdp # default and recommended
+```
+
+```
+python lit_train.py --model_name gpt2 --use_tril_attention_mask --strategy deepspeed
+```
+
+```
+python lit_train.py --model_name gpt2 --use_tril_attention_mask --strategy ddp
+```
+
+## Reduce CUDA memory cost
+
+- half precision
+    ```
+    python lit_train.py --model_name gpt2 --use_tril_attention_mask --bf16
+    ```
+    ```
+    python lit_train.py --model_name gpt2 --use_tril_attention_mask --fp16
+    ```
+- smaller batch size & accumulate grad batches
+    ```
+    python lit_train.py --model_name gpt2 --use_tril_attention_mask --bf16 \
+        --train_batch_size 2 --val_batch_size 4 --accumulate_grad_batches 128
+    ```
+- cpu_offload
+    ```
+    python lit_train.py --model_name gpt2 --use_tril_attention_mask --bf16 \
+        --strategy fsdp_cpu_offload
+    ```
+    ```
+    python lit_train.py --model_name gpt2 --use_tril_attention_mask --bf16 \
+        --strategy deepspeed_stage_3_offload
+    ```
+