Fixing second-person lint errors

site/en/gemma/docs/lit_gemma.ipynb

@@ -125,9 +125,10 @@
       "source": [
         "## Install LIT and Keras NLP\n",
         "\n",
-        "Here, we use the KerasNLP implementation of Gemma (more on how to configure this\n",
-        "below). You will need a recent version of `keras` (3.0+) `keras-nlp`\n",
-        "(0.12+) and `lit-nlp` (1.2+), and a Kaggle account to download the base model."
+        "This notebook uses the KerasNLP implementation of Gemma (more on how to \n",
+        "configure this below). You will need a recent version of `keras` (3.0+) \n",
+        "`keras-nlp` (0.12+) and `lit-nlp` (1.2+), and a Kaggle account to download the \n",
+        "base model."
       ]
     },
     {
@@ -153,10 +154,10 @@
       "source": [
         "### Kaggle Access\n",
         "\n",
-        "KerasNLP stores their pre-trained model weights on Kaggle. We use the\n",
-        "[`kagglehub` package](https://github.com/Kaggle/kagglehub#authenticate) to\n",
-        "autheticate with this service. Be sure to also accept the license agreement for\n",
-        "[Gemma](https://www.kaggle.com/models/keras/gemma) from your Kaggle account.\n",
+        "KerasNLP stores their pre-trained model weights on Kaggle. The\n",
+        "[`kagglehub` package](https://github.com/Kaggle/kagglehub#authenticate) is used\n",
+        "to autheticate with this service. Be sure to also accept the license agreement \n",
+        "for [Gemma](https://www.kaggle.com/models/keras/gemma) from your Kaggle account.\n",
         "\n",
         "See the Appendix at the end for more information on how to set up a Kaggle\n",
         "account."
@@ -190,9 +191,14 @@
         "id": "v12sUSdiNPje"
       },
       "source": [
-        "LIT provides a function, `make_notebook_widget()` for configuring our prompt debugging tools in a notebook context. The first two arguments define the `datasets` and `models`, respectively, and are required. The remaining parameters allow you to choose  \n",
+        "LIT provides a function, `make_notebook_widget()` for configuring our prompt \n",
+        "debugging tools in a notebook context. \n",
         "\n",
-        "We provide a dataset of sample prompts that support the case studies later in this document. If you"
+        "LIT provides a dataset of sample prompts that accompany the tutorial linked \n",
+        "later in this document.\n",
+        "\n",
+        "See the comments below for configuring the widget to use different models and/or\n",
+        "datasets."
       ]
     },
     {
@@ -210,9 +216,9 @@
         "#\n",
         "# * `datasets_config`: A list of strings containing the dataset names and\n",
         "#       paths to load from, as \"dataset:path\", where path can be a URL or a\n",
-        "#       local file path. Here, we use a special value, `sample_prompts`, to load\n",
-        "#       the example prompts provided in the LIT distribution; no other special\n",
-        "#       values are supported.\n",
+        "#       local file path. The example below uses a special value,\n",
+        "#       `sample_prompts`, to load the example prompts provided in the LIT\n",
+        "#       distribution; no other special values are supported.\n",
         "# * `models_config`: A list of strings containing the model names and paths to\n",
         "#       load from, as \"model:path\", where path can be a URL, a local file path,\n",
         "#       or the name of a preset for the configured deep learning framework.\n",
@@ -284,9 +290,9 @@
         "\n",
         "[Salience methods][salience-explorable] allow you to inspect which parts of an \n",
         "input are important to the model for different parts of its generated output. \n",
-        "LIT's [Sequence Salience module][lit-seq-sal] extends these methods so that we\n",
-        "can explain importance at multiple levels of granularity: from tokens to words\n",
-        "to sentences and beyond.\n",
+        "LIT's [Sequence Salience module][lit-seq-sal] extends these methods to explain \n",
+        "the importance of sequences at multiple levels of granularity: from tokens to \n",
+        "words to sentences and beyond.\n",
         "\n",
         "You can use LIT in the cell above to play around with the Sequence Salience \n",
         "module on your own. For a more guided learning experience, you can follow long \n",
@@ -312,9 +318,12 @@
       "source": [
         "# Appendix: Accessing Gemma on Kaggle Hub\n",
         "\n",
-        "We use the KerasNLP implementation of Gemma in this document. KerasNLP stores their pre-trained model weights on Kaggle, and Gemma requires authentication and license acknowledgement to access those weights.\n",
+        "This notebook uses the KerasNLP implementation of Gemma in this document. \n",
+        "KerasNLP stores their pre-trained model weights on Kaggle, and Gemma requires \n",
+        "authentication and license acknowledgement to access those weights.\n",
         "\n",
-        "The following instruction walk you through how to set up a Kaggle account and authenticate with Kaggle using the `kagglehub` package.\n",
+        "The following instruction walk you through how to set up a Kaggle account and \n",
+        "authenticate with Kaggle using the `kagglehub` package.\n",
         "\n",
         "1.  Create a Kaggle account if you don't have one\n",
         "    * Go to: https://www.kaggle.com/account/login?phase=startRegisterTab\n",