diff --git a/ch05/01_main-chapter-code/ch05.ipynb b/ch05/01_main-chapter-code/ch05.ipynb
index 1ae9309e..389aa442 100644
--- a/ch05/01_main-chapter-code/ch05.ipynb
+++ b/ch05/01_main-chapter-code/ch05.ipynb
@@ -230,27 +230,6 @@
     "- The next chapters on finetuning LLMs will also introduce additional ways to measure model quality"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "a93359b2-1efd-4b2f-930b-d962a3416a90",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "sum([0.01, 0.00, 0.10, 0.10, 0.20, 0.34, 0.12, 0.13])"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "955f9e1a-7bf7-40d8-b1fa-eacabdee8d8e",
@@ -422,7 +401,7 @@
     }
    ],
    "source": [
-    "token_ids_to_text(token_ids.flatten(), tokenizer)"
+    "print(token_ids_to_text(token_ids.flatten(), tokenizer))"
    ]
   },
   {
@@ -1725,7 +1704,7 @@
    "id": "526e93cb-8e2a-42a1-b1ba-4fd5fe64c26b",
    "metadata": {},
    "source": [
-    "- Th rescaled probabilities via temperature 5 are more uniformly distributed:"
+    "- The rescaled probabilities via temperature 5 are more uniformly distributed:"
    ]
   },
   {
@@ -2517,7 +2496,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.10.6"
   }
  },
  "nbformat": 4,