From e3d7091d70451f8c6543a36ae4bbeae996fd545e Mon Sep 17 00:00:00 2001
From: Ted Sanders <ted@openai.com>
Date: Mon, 24 Oct 2022 13:46:57 -0700
Subject: [PATCH] adds warning to QA example code

---
 examples/fine-tuned_qa/answers_with_ft.py     |  6 +++++
 .../olympics-1-collect-data.ipynb             | 22 ++++++++++++++-----
 .../fine-tuned_qa/olympics-2-create-qa.ipynb  |  7 ++++++
 .../fine-tuned_qa/olympics-3-train-qa.ipynb   | 22 ++++++++++++++-----
 4 files changed, 45 insertions(+), 12 deletions(-)

diff --git a/examples/fine-tuned_qa/answers_with_ft.py b/examples/fine-tuned_qa/answers_with_ft.py
index 32507e82..5eaba7d4 100644
--- a/examples/fine-tuned_qa/answers_with_ft.py
+++ b/examples/fine-tuned_qa/answers_with_ft.py
@@ -1,3 +1,9 @@
+"""
+Note: To answer questions based on text documents, we recommend the procedure in 
+[Question Answering using Embeddings](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb).
+Some of the code below may rely on [deprecated API endpoints](https://github.com/openai/openai-cookbook/tree/main/transition_guides_for_deprecated_API_endpoints).
+"""
+
 import argparse
 
 import openai
diff --git a/examples/fine-tuned_qa/olympics-1-collect-data.ipynb b/examples/fine-tuned_qa/olympics-1-collect-data.ipynb
index 7a88051b..67a97ac6 100644
--- a/examples/fine-tuned_qa/olympics-1-collect-data.ipynb
+++ b/examples/fine-tuned_qa/olympics-1-collect-data.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<span style=\"color:orange\">**Note: To answer questions based on text documents, we recommend the procedure in [Question Answering using Embeddings](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb). Some of the code below may rely on [deprecated API endpoints](https://github.com/openai/openai-cookbook/tree/main/transition_guides_for_deprecated_API_endpoints).**</span>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -487,11 +494,9 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8"
-  },
   "kernelspec": {
-   "display_name": "Python 3.7.3 64-bit ('base': conda)",
+   "display_name": "Python 3.9.9 64-bit ('3.9.9')",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -504,9 +509,14 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.9.9"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "cb9817b186a29e4e9713184d901f26c1ee05ad25243d878baff7f31bb1fef480"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2
diff --git a/examples/fine-tuned_qa/olympics-2-create-qa.ipynb b/examples/fine-tuned_qa/olympics-2-create-qa.ipynb
index 7b279f05..f54e182b 100644
--- a/examples/fine-tuned_qa/olympics-2-create-qa.ipynb
+++ b/examples/fine-tuned_qa/olympics-2-create-qa.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<span style=\"color:orange\">**Note: To answer questions based on text documents, we recommend the procedure in [Question Answering using Embeddings](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb). Some of the code below may rely on [deprecated API endpoints](https://github.com/openai/openai-cookbook/tree/main/transition_guides_for_deprecated_API_endpoints).**</span>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
diff --git a/examples/fine-tuned_qa/olympics-3-train-qa.ipynb b/examples/fine-tuned_qa/olympics-3-train-qa.ipynb
index 76fb3f3c..63341ecd 100644
--- a/examples/fine-tuned_qa/olympics-3-train-qa.ipynb
+++ b/examples/fine-tuned_qa/olympics-3-train-qa.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<span style=\"color:orange\">**Note: To answer questions based on text documents, we recommend the procedure in [Question Answering using Embeddings](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb). Some of the code below may rely on [deprecated API endpoints](https://github.com/openai/openai-cookbook/tree/main/transition_guides_for_deprecated_API_endpoints).**</span>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -611,11 +618,9 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8"
-  },
   "kernelspec": {
-   "display_name": "Python 3.7.3 64-bit ('base': conda)",
+   "display_name": "Python 3.9.9 64-bit ('3.9.9')",
+   "language": "python",
    "name": "python3"
   },
   "language_info": {
@@ -628,9 +633,14 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.3"
+   "version": "3.9.9"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "cb9817b186a29e4e9713184d901f26c1ee05ad25243d878baff7f31bb1fef480"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2