diff --git a/examples/Fine_tuning_for_function_calling.ipynb b/examples/Fine_tuning_for_function_calling.ipynb
index 85a7d32a5e..8a9236aec0 100644
--- a/examples/Fine_tuning_for_function_calling.ipynb
+++ b/examples/Fine_tuning_for_function_calling.ipynb
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,12 +90,12 @@
     "import numpy as np\n",
     "import json\n",
     "import os\n",
-    "import openai\n",
+    "from openai import OpenAI\n",
     "import itertools\n",
     "from tenacity import retry, wait_random_exponential, stop_after_attempt\n",
     "from typing import Any, Dict, List, Generator\n",
     "import ast\n",
-    "openai.api_key = os.getenv('OPENAI_API_KEY')\n"
+    "client = OpenAI()\n"
    ]
   },
   {
@@ -114,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -137,7 +137,7 @@
     "    if functions:\n",
     "        params['functions'] = functions\n",
     "\n",
-    "    completion = openai.ChatCompletion.create(**params)\n",
+    "    completion = client.chat.completions.create(**params)\n",
     "    return completion.choices[0].message\n"
    ]
   },
@@ -159,7 +159,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -177,7 +177,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -442,9 +442,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Land the drone at the home base\n",
+      "FunctionCall(arguments='{\\n  \"location\": \"home_base\"\\n}', name='land_drone') \n",
+      "\n",
+      "Take off the drone to 50 meters\n",
+      "FunctionCall(arguments='{\\n  \"altitude\": 50\\n}', name='takeoff_drone') \n",
+      "\n",
+      "change speed to 15 kilometers per hour\n",
+      "FunctionCall(arguments='{\\n  \"speed\": 15\\n}', name='set_drone_speed') \n",
+      "\n",
+      "turn into an elephant!\n",
+      "FunctionCall(arguments='{}', name='reject_request') \n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "for prompt in straightforward_prompts:\n",
     "  messages = []\n",
@@ -464,7 +483,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -477,9 +496,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Play pre-recorded audio message\n",
+      "FunctionCall(arguments='{}', name='reject_request')\n",
+      "\n",
+      "\n",
+      "Initiate live-streaming on social media\n",
+      "FunctionCall(arguments='{\\n\"mode\": \"video\",\\n\"duration\": 0\\n}', name='control_camera')\n",
+      "\n",
+      "\n",
+      "Scan environment for heat signatures\n",
+      "None\n",
+      "\n",
+      "\n",
+      "Enable stealth mode\n",
+      "FunctionCall(arguments='{\\n  \"mode\": \"off\"\\n}', name='set_drone_lighting')\n",
+      "\n",
+      "\n",
+      "Change drone's paint job color\n",
+      "FunctionCall(arguments='{\\n  \"pattern\": \"solid\",\\n  \"color\": \"blue\"\\n}', name='configure_led_display')\n",
+      "\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "for prompt in challenging_prompts:\n",
     "  messages = []\n",
@@ -537,7 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -557,7 +603,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -664,7 +710,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -734,7 +780,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -784,7 +830,7 @@
     "        request_prompt = COMMAND_GENERATION_PROMPT.format(invocation=invocation)\n",
     "\n",
     "        messages = [{\"role\": \"user\", \"content\": f\"{request_prompt}\"}]\n",
-    "        completion = get_chat_completion(messages,temperature=0.8)\n",
+    "        completion = get_chat_completion(messages,temperature=0.8).content\n",
     "        command_dict = {\n",
     "            \"Input\": invocation,\n",
     "            \"Prompt\": completion\n",
@@ -926,13 +972,13 @@
    "outputs": [],
    "source": [
     "if __name__ == \"__main__\":\n",
-    "    file = openai.File.create(\n",
+    "    file = client.files.create(\n",
     "        file=open(training_file, \"rb\"),\n",
     "        purpose=\"fine-tune\",\n",
     "    )\n",
     "    file_id = file.id\n",
     "    print(file_id)\n",
-    "    ft = openai.FineTuningJob.create(\n",
+    "    ft = client.fine_tuning.jobs.create(\n",
     "        # model=\"gpt-4-0613\",\n",
     "        model=\"gpt-3.5-turbo\",\n",
     "        training_file=file_id,\n",
@@ -980,7 +1026,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Conclustion"
+    "### Conclusion"
    ]
   },
   {