Merge pull request #25 from HelmholtzAI-Consultants-Munich/neuronflow…

…-patch-15

Update Model-Transformers.ipynb

data_and_models/Model-Transformers.ipynb

@@ -31,8 +31,8 @@
     "\n",
     "### Setup Colab environment\n",
     "\n",
-    "If you installed the packages and requirements on your own machine, you can skip this section and start from the import section.\n",
-    "Otherwise, you can follow and execute the tutorial on your browser. In order to start working on the notebook, click on the following button, this will open this page in the Colab environment and you will be able to execute the code on your own.\n",
+    "If you installed the packages and requirements on your  machine, you can skip this section and start from the import section.\n",
+    "Otherwise, you can follow and execute the tutorial on your browser. To start working on the notebook, click on the following button. This will open this page in the Colab environment, and you will be able to execute the code on your own.\n",
     "\n",
     "<a href=\"https://colab.research.google.com/github/HelmholtzAI-Consultants-Munich/Zero2Hero---Introduction-to-XAI/blob/Juelich-2023/data_and_models/Model-Transformers.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
    ]
@@ -41,13 +41,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now that you opened the notebook in Colab, follow the next step:\n",
+    "Now that you opened the notebook in Google Colab, follow the next step:\n",
     "\n",
     "1. Run this cell to connect your Google Drive to Colab and install packages\n",
     "2. Allow this notebook to access your Google Drive files. Click on 'Yes', and select your account.\n",
     "3. \"Google Drive for desktop wants to access your Google Account\". Click on 'Allow'.\n",
     "   \n",
-    "At this point, a folder has been created in your Drive and you can navigate it through the lefthand panel in Colab, you might also have received an email that informs you about the access on your Google Drive."
+    "At this point, a folder has been created in your Drive, and you can navigate it through the lefthand panel in Colab. You might also receive an email that informs you about the access on your Google Drive."
    ]
   },
   {
@@ -87,7 +87,7 @@
    "source": [
     "## 1. Encoder-Decoder Structure\n",
     " \n",
-    "Transformers are a type of neural network architecture that has become a cornerstone in the field of Natural Language Processing (NLP) and beyond. They were introduced in the 2017 paper \"Attention is All You Need\" by Vaswani et al. Transformers are a milestone because of the **Attention Mechanism**, especially self-attention. \n",
+    "Transformers are a type of neural network architecture that has become a cornerstone in Natural Language Processing (NLP) and beyond. They were introduced in the 2017 paper \"Attention is All You Need\" by Vaswani et al. Transformers are a milestone because of the **Attention Mechanism**, especially self-attention. \n",
     "\n",
     "The Transformer architecture is divided into two main parts:\n",
     "\n",
@@ -137,7 +137,7 @@
     "\n",
     "**Weighted Sum**\n",
     "\n",
-    "The output for each element is then a weighted sum of the value vectors, where the weights are the attention scores. This results in a new representation for each element that incorporates information from the entire sequence.\n",
+    "The output for each element is then a weighted sum of the value vectors, where the weights are the attention scores. This results in a new representation for each element incorporating information from the entire sequence.\n",
     "\n",
     "<img src=\"..//docs/source/_figures/qkv3.png\" alt=\"self-attention\" width=\"700\" height=\"700\">\n",
     "\n",