diff --git a/examples/fine-tuned_qa/answers_with_ft.py b/examples/fine-tuned_qa/answers_with_ft.py
index 32507e8..5eaba7d 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 7a88051..67a97ac 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": [
+ "**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).**"
+ ]
+ },
{
"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 7b279f0..f54e182 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": [
+ "**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).**"
+ ]
+ },
{
"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 76fb3f3..63341ec 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": [
+ "**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).**"
+ ]
+ },
{
"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