From 8de730ecc866dc62ee1c906ad147cc99588c9ee6 Mon Sep 17 00:00:00 2001
From: Simon Veitner <simp.veitner@gmail.com>
Date: Fri, 27 Dec 2024 19:57:41 +0100
Subject: [PATCH] update

---
 _posts/2024-12-27-synthetic-data-intro.md | 42 +++++++++++++----------
 1 file changed, 24 insertions(+), 18 deletions(-)

diff --git a/_posts/2024-12-27-synthetic-data-intro.md b/_posts/2024-12-27-synthetic-data-intro.md
index bfddc44..3e7375d 100644
--- a/_posts/2024-12-27-synthetic-data-intro.md
+++ b/_posts/2024-12-27-synthetic-data-intro.md
@@ -73,12 +73,11 @@ resp = client.chat.completions.create(
     messages=[
         {
             "role": "user",
-            "content": """Write a potential user query to a chatbot for the following product:
-            `{{ data }}`""",  
+            "content": "Write a potential user query to a chatbot for the following product:\n{{ data }}"
         },
     ],
     response_model=SyntheticQuestion,
-    context={"data": client_description},  
+    context={"data": client_description},
 )
 
 print(resp.chain_of_thought)
@@ -117,24 +116,30 @@ synthetic_question = client.chat.completions.create(
         {
             "role": "user",
             "content": """We want to generate synthetic data to evaluate the capabilities of the chatbot of our client.
-            Client description:
-            `{{ client_description }}`
-            To generate high quality data you will first come up with a user type and craft a small background about the user.
-            You will then craft a query for that user. You will be given a topic that the query will be about.
-            You will also be given an example for a user type, background and question for better understanding:
-            Topic: {{ topic }}
-            ```
-            Example type: {{ example_type }}
-            Example background: {{ example_background }}
-            Example query: {{ example_query }}
-            ```
-            Please make sure that the question is on the topic. It is highly important the generate user type, background and query are about the topic.""",  
+Client description:
+{{ client_description }}
+
+To generate high quality data, you will first come up with a user type and craft a small background about the user.
+You will then craft a query for that user. You will be given a topic that the query will be about.
+
+You will also be given an example for a user type, background, and question for better understanding:
+Topic: {{ topic }}
+Example type: {{ example_type }}
+Example background: {{ example_background }}
+Example query: {{ example_query }}
+
+Please make sure the question is on the topic. It is highly important to generate a user type, background, and query about the topic.
+""",
         },
     ],
     response_model=SyntheticQuestion,
-    context={"client_description": client_description, "topic": profile["topic"],
-             "example_type": profile["example_type"], "example_background": profile["example_background"],
-             "example_query": profile["example_query"]},  
+    context={
+        "client_description": client_description,
+        "topic": profile["topic"],
+        "example_type": profile["example_type"],
+        "example_background": profile["example_background"],
+        "example_query": profile["example_query"]
+    },
 )
 
 resp = Response(
@@ -149,6 +154,7 @@ print(profile["example_query"])
 print(resp.synthetic_question.user_type)
 print(resp.synthetic_question.user_background)
 print(resp.synthetic_question.query)
+
 # > Requesting an Additional Card
 # > Roommate Sharing Bills
 # > Iris splits rent and groceries with her roommate, hoping to consolidate spending on one card.