fix comments

sagemaker-training-compiler/huggingface/pytorch_multiple_gpu_multiple_node/language-modeling-multi-gpu-multi-node.ipynb

@@ -296,7 +296,7 @@
    "id": "4b3575d9",
    "metadata": {},
    "source": [
-    "The batch size below is the maximum batch we could fit into the memory of an ml.p4d.24xlarge instance. If you change the model, instance type, sequence length, and other parameters, you need to do some experiments to find the largest batch size that will fit into GPU memory. We also use Automatic Mixed Precision for faster training.\n",
+    "The batch size below is the maximum batch we could fit into the memory of an ml.p4d.24xlarge instance. If you change the model, instance type, sequence length, and other parameters, you need to do some experiments to find the largest batch size that will fit into GPU memory.\n",
     "\n",
     "This example uses HuggingFace training script run_clm.py, which you can find it inside the scripts folder."
    ]