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Merge branch 'main' into colin

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Colin Jarvis 2023-01-09 04:54:52 -08:00
commit 73802cb7e1
3 changed files with 3 additions and 12 deletions
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7
examples/Code_search.ipynb
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@ -84,13 +84,6 @@
"print(\"Total number of functions extracted:\", len(all_funcs))" "print(\"Total number of functions extracted:\", len(all_funcs))"
] ]
}, },
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For code search models we use code-search-{model}-code to obtain embeddings for code snippets, and code-search-{model}-text to embed natural language queries."
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 2,

6
examples/How_to_handle_rate_limits.ipynb
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@ -95,11 +95,9 @@
"\n", "\n",
"### Requesting a rate limit increase\n", "### Requesting a rate limit increase\n",
"\n", "\n",
"If you'd like your organization's rate limit increased, please feel free to reach out to <support@openai.com> with the following information:\n", "If you'd like your organization's rate limit increased, please fill out the following form:\n",
"\n", "\n",
"- The model(s) you need increased limits on\n", "- [OpenAI Rate Limit Increase Request form](https://forms.gle/56ZrwXXoxAN1yt6i9)\n"
"- The estimated rate of requests\n",
"- The reason for the increase"
] ]
}, },
{ {

2
examples/Obtain_dataset.ipynb
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@ -162,7 +162,7 @@
"\n", "\n",
"# This will take just between 5 and 10 minutes\n", "# This will take just between 5 and 10 minutes\n",
"df['ada_similarity'] = df.combined.apply(lambda x: get_embedding(x, engine='text-embedding-ada-002'))\n", "df['ada_similarity'] = df.combined.apply(lambda x: get_embedding(x, engine='text-embedding-ada-002'))\n",
"df['ada_search'] = df.combined.apply(lambda x: get_embedding(x, engine='text-embedding-ada-002'))\n", "df['ada_search'] = df['ada_similarity']\n",
"df.to_csv('data/fine_food_reviews_with_embeddings_1k.csv')" "df.to_csv('data/fine_food_reviews_with_embeddings_1k.csv')"
] ]
} }