Merge pull request openai#77 from Pankaj-Baranwal/patch-1

ted-at-openai · web-flow · commit c9df23f7d0cb · 2023-01-19T14:38:35.000-08:00
Replaced non-existent model with the new version.
diff --git a/examples/fine-tuned_qa/olympics-2-create-qa.ipynb b/examples/fine-tuned_qa/olympics-2-create-qa.ipynb
@@ -12,7 +12,7 @@
    "metadata": {},
    "source": [
     "# 2. Creating a synthetic Q&A dataset\n",
-    "We use [`davinci-instruct-beta-v2`](https://beta.openai.com/docs/engines/instruct-series-beta), a model specialized in following instructions, to create questions based on the given context. Then we also use [`davinci-instruct-beta-v2`](https://beta.openai.com/docs/engines/instruct-series-beta) to answer those questions, given the same context. \n",
+    "We use [`davinci-instruct-beta-v3`](https://beta.openai.com/docs/engines/instruct-series-beta), a model specialized in following instructions, to create questions based on the given context. Then we also use [`davinci-instruct-beta-v3`](https://beta.openai.com/docs/engines/instruct-series-beta) to answer those questions, given the same context. \n",
     "\n",
     "This is expensive, and will also take a long time, as we call the davinci engine for each section. You can simply download the final dataset instead.\n",
     "\n",
@@ -175,7 +175,7 @@
     "def get_questions(context):\n",
     "    try:\n",
     "        response = openai.Completion.create(\n",
-    "            engine=\"davinci-instruct-beta-v2\",\n",
+    "            engine=\"davinci-instruct-beta-v3\",\n",
     "            prompt=f\"Write questions based on the text below\\n\\nText: {context}\\n\\nQuestions:\\n1.\",\n",
     "            temperature=0,\n",
     "            max_tokens=257,\n",
@@ -255,7 +255,7 @@
     "def get_answers(row):\n",
     "    try:\n",
     "        response = openai.Completion.create(\n",
-    "            engine=\"davinci-instruct-beta-v2\",\n",
+    "            engine=\"davinci-instruct-beta-v3\",\n",
     "            prompt=f\"Write questions based on the text below\\n\\nText: {row.context}\\n\\nQuestions:\\n{row.questions}\\n\\nAnswers:\\n1.\",\n",
     "            temperature=0,\n",
     "            max_tokens=257,\n",
@@ -385,15 +385,15 @@
     }
    ],
    "source": [
-    "answer_question(olympics_search_fileid, \"davinci-instruct-beta-v2\", \n",
+    "answer_question(olympics_search_fileid, \"davinci-instruct-beta-v3\", \n",
     "            \"Where did women's 4 x 100 metres relay event take place during the 2020 Summer Olympics?\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "After we fine-tune the model for Q&A we'll be able to use it instead of [`davinci-instruct-beta-v2`](https://beta.openai.com/docs/engines/instruct-series-beta), to obtain better answers when the question can't be answered based on the context. We see a downside of [`davinci-instruct-beta-v2`](https://beta.openai.com/docs/engines/instruct-series-beta), which always attempts to answer the question, regardless of the relevant context being present or not. (Note the second question is asking about a future event, set in 2024.)"
+    "After we fine-tune the model for Q&A we'll be able to use it instead of [`davinci-instruct-beta-v3`](https://beta.openai.com/docs/engines/instruct-series-beta), to obtain better answers when the question can't be answered based on the context. We see a downside of [`davinci-instruct-beta-v3`](https://beta.openai.com/docs/engines/instruct-series-beta), which always attempts to answer the question, regardless of the relevant context being present or not. (Note the second question is asking about a future event, set in 2024.)"
    ]
   },
   {
@@ -413,7 +413,7 @@
     }
    ],
    "source": [
-    "answer_question(olympics_search_fileid, \"davinci-instruct-beta-v2\", \n",
+    "answer_question(olympics_search_fileid, \"davinci-instruct-beta-v3\", \n",
     "            \"Where did women's 4 x 100 metres relay event take place during the 2048 Summer Olympics?\", max_len=1000)"
    ]
   },
