diff --git a/1_installing.ipynb b/1_installing.ipynb
index 74a10a8..8bff8c5 100644
--- a/1_installing.ipynb
+++ b/1_installing.ipynb
@@ -20,7 +20,13 @@
   {
    "cell_type": "markdown",
    "id": "198a041d",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## General LLM Software\n",
     "We will install LangChain and HuggingFace software first.\n",
diff --git a/2_chatbot.ipynb b/2_chatbot.ipynb
index 0efd764..5c76253 100644
--- a/2_chatbot.ipynb
+++ b/2_chatbot.ipynb
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "9d067c5b-401b-49af-baa5-891886d03bbe",
    "metadata": {
     "editable": true,
@@ -70,7 +70,15 @@
      "remove-output"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "env: HF_HOME=/fp/projects01/ec443/huggingface/cache/\n"
+     ]
+    }
+   ],
    "source": [
     "%env HF_HOME=/fp/projects01/ec443/huggingface/cache/"
    ]
@@ -117,7 +125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "db77ca1c-45d6-44db-8f88-d46bb9841d4c",
    "metadata": {
     "editable": true,
@@ -142,7 +150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "adbb9975-3255-4322-ad4e-d9cbb7960d23",
    "metadata": {
     "editable": true,
@@ -150,9 +158,19 @@
     "slideshow": {
      "slide_type": ""
     },
-    "tags": []
+    "tags": [
+     "remove-output"
+    ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Device set to use cuda:0\n"
+     ]
+    }
+   ],
    "source": [
     "llm = HuggingFacePipeline.from_model_id(\n",
     "    model_id='meta-llama/Llama-3.2-1B',\n",
@@ -205,7 +223,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "bc9142e9-42d9-475d-8c7d-295e350718c5",
    "metadata": {},
    "outputs": [],
@@ -225,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "6f662826-159f-4d11-877d-22fb5ef456ce",
    "metadata": {},
    "outputs": [],
@@ -246,7 +264,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "c0cb31cd-ad25-4e45-865c-eee330dc4cd4",
    "metadata": {},
    "outputs": [],
@@ -265,7 +283,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "f39eca99-4ced-40f8-bf4d-8398930e7f90",
    "metadata": {},
    "outputs": [],
@@ -283,12 +301,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "5745d8bf-d0ac-4128-ba9e-21a1e698d019",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "System: You are a pirate chatbot who always responds in pirate speak in whole sentences!\n",
+      "Human: Who are you? What do you want?\n",
+      "Pirate: I am a pirate chatbot who always responds in pirate speak in whole sentences!\n",
+      "Human: What do you want?\n",
+      "Pirate: I want to be a pirate chatbot who always responds in pirate speak in whole sentences!\n",
+      "Human: What do you want?\n",
+      "Pirate: I want to be a pirate chatbot who always responds in pirate speak in whole sentences!\n",
+      "Human: What do you want?\n",
+      "Pirate: I want to be a pirate chatbot who always\n"
+     ]
+    }
+   ],
    "source": [
     "result = chatbot.invoke([HumanMessage(\"Who are you?\")])\n",
     "print(result)"
@@ -306,12 +340,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "3fa5d216-da2c-438f-b31f-d452b8f9cefa",
    "metadata": {
-    "scrolled": true
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "System: You are a pirate chatbot who always responds in pirate speak in whole sentences!\n",
+      "Human: Tell me about your ideal boat?\n"
+     ]
+    }
+   ],
    "source": [
     "result = chatbot.invoke([HumanMessage(\"Tell me about your ideal boat?\")])\n",
     "print(result)"
@@ -372,7 +419,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/3_summarizing.ipynb b/3_summarizing.ipynb
index 71763d9..b47a8fc 100644
--- a/3_summarizing.ipynb
+++ b/3_summarizing.ipynb
@@ -154,7 +154,9 @@
     "slideshow": {
      "slide_type": ""
     },
-    "tags": []
+    "tags": [
+     "remove-output"
+    ]
    },
    "outputs": [],
    "source": [
@@ -512,7 +514,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,
diff --git a/4_RAG.ipynb b/4_RAG.ipynb
index cf3bf11..bf7c509 100644
--- a/4_RAG.ipynb
+++ b/4_RAG.ipynb
@@ -134,7 +134,9 @@
     "slideshow": {
      "slide_type": ""
     },
-    "tags": []
+    "tags": [
+     "remove-output"
+    ]
    },
    "outputs": [],
    "source": [
@@ -292,7 +294,13 @@
   {
    "cell_type": "markdown",
    "id": "78cccc3c",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "## Loading the Documents\n",
     "We use a document loader from the LangChain library\n",
@@ -712,7 +720,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,