Update Week 6 Day 5 Notebook to make use of WandB sync.

week6/day5.ipynb

@@ -149,7 +149,7 @@
    "source": [
     "# First let's work on a good prompt for a Frontier model\n",
     "# Notice that I'm removing the \" to the nearest dollar\"\n",
-    "# When we train our own models, we'll need to make the problem as easy as possible, \n",
+    "# When we train our own models, we'll need to make the problem as easy as possible,\n",
     "# but a Frontier model needs no such simplification.\n",
     "\n",
     "def messages_for(item):\n",
@@ -393,6 +393,22 @@
     "openai.fine_tuning.jobs.list_events(fine_tuning_job_id=job_id, limit=10).data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b19ea9e9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import wandb\n",
+    "from wandb.integration.openai.fine_tuning import WandbLogger\n",
+    "\n",
+    "# Log in to Weights & Biases.\n",
+    "wandb.login()\n",
+    "# Sync the fine-tuning job with Weights & Biases.\n",
+    "WandbLogger.sync(fine_tune_job_id=job_id, project=\"gpt-pricer\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "066fef03-8338-4526-9df3-89b649ad4f0a",
@@ -490,7 +506,7 @@
     "\n",
     "def gpt_fine_tuned(item):\n",
     "    response = openai.chat.completions.create(\n",
-    "        model=fine_tuned_model_name, \n",
+    "        model=fine_tuned_model_name,\n",
     "        messages=messages_for(item),\n",
     "        seed=42,\n",
     "        max_tokens=7\n",