Readme updates and link to pkl files based on great community feedback

README.md

@@ -228,9 +228,9 @@ ANTHROPIC_API_KEY=xxxx
 HF_TOKEN=xxxx
 ```
 
-3. Go to File > Save As. In the "Save as type" dropdown, select All Files. In the "File name" field, type ".env". Choose the root of the project folder and click Save.
+3. Go to File > Save As. In the "Save as type" dropdown, select All Files. In the "File name" field, type ".env". Choose the root of the project folder (the folder called `llm_engineering`) and click Save.  
 
-4. Navigate to the foler where you saved the file in Explorer and ensure it was saved as ".env" not ".env.txt" - if necessary rename it to ".env"
+4. Navigate to the foler where you saved the file in Explorer and ensure it was saved as ".env" not ".env.txt" - if necessary rename it to ".env" -  you might need to ensure that "Show file extensions" is set to "On" so that you see the file extensions. Message or email me if that doesn't make sense!
 
 **For Mac users:**
 

week6/day3.ipynb

@@ -133,6 +133,21 @@
     "%matplotlib inline"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5105e13c-bca0-4c70-bfaa-649345f53322",
+   "metadata": {},
+   "source": [
+    "# Loading the pkl files\n",
+    "\n",
+    "Let's avoid curating all our data again! Load in the pickle files\n",
+    "\n",
+    "If you didn't already create these in Day 2, you can also download them from my google drive (you'll also find the slides here):  \n",
+    "https://drive.google.com/drive/folders/1JwNorpRHdnf_pU0GE5yYtfKlyrKC3CoV?usp=sharing\n",
+    "\n",
+    "But note that the files are quite large - you might need to get a coffee!"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -140,7 +155,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Let's avoid curating all our data again! Load in the pickle files:\n",
+    "\n",
     "\n",
     "with open('train.pkl', 'rb') as file:\n",
     "    train = pickle.load(file)\n",