From af43f516b9d1a0a426b1888fecb3ad11cd9e8b7f Mon Sep 17 00:00:00 2001
From: Ted Sanders <ted@openai.com>
Date: Fri, 16 Jun 2023 10:29:01 -0700
Subject: [PATCH] fixes link and removes empty cell

---
 .../How_to_call_functions_for_knowledge_retrieval.ipynb   | 3 ++-
 examples/How_to_call_functions_with_chat_models.ipynb     | 8 --------
 2 files changed, 2 insertions(+), 9 deletions(-)

diff --git a/examples/How_to_call_functions_for_knowledge_retrieval.ipynb b/examples/How_to_call_functions_for_knowledge_retrieval.ipynb
index 20b2e252..b7554c99 100644
--- a/examples/How_to_call_functions_for_knowledge_retrieval.ipynb
+++ b/examples/How_to_call_functions_for_knowledge_retrieval.ipynb
@@ -1,13 +1,14 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3e67f200",
    "metadata": {},
    "source": [
     "# How to use functions with a knowledge base\n",
     "\n",
-    "This notebook builds on the concepts in the [argument generation]('How_to_generate_function_arguments_with_chat_models.ipynb') notebook, by creating an agent with access to a knowledge base and two functions that it can call based on the user requirement.\n",
+    "This notebook builds on the concepts in the [argument generation](How_to_call_functions_with_chat_models.ipynb) notebook, by creating an agent with access to a knowledge base and two functions that it can call based on the user requirement.\n",
     "\n",
     "We'll create an agent that uses data from arXiv to answer questions about academic subjects. It has two functions at its disposal:\n",
     "- **get_articles**: A function that gets arXiv articles on a subject and summarizes them for the user with links.\n",
diff --git a/examples/How_to_call_functions_with_chat_models.ipynb b/examples/How_to_call_functions_with_chat_models.ipynb
index 97ac9f76..3f6baba7 100644
--- a/examples/How_to_call_functions_with_chat_models.ipynb
+++ b/examples/How_to_call_functions_with_chat_models.ipynb
@@ -725,14 +725,6 @@
     "\n",
     "See our other [notebook](How_to_call_functions_for_knowledge_retrieval.ipynb) that demonstrates how to use the Chat Completions API and functions for knowledge retrieval to interact conversationally with a knowledge base."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c83138e8",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {