"In this example we'll try to go over all operations that can be done using the Azure endpoints and their differences with the openAi endpoints (if any).<br>\n",
"This example focuses on finetuning but touches on the majority of operations that are also available using the API. This example is meant to be a quick way of showing simple operations and is not meant as a finetune model adaptation tutorial.\n"
]
@ -414,7 +414,7 @@
"source": [
"print('Sending a test completion job')\n",
"start_phrase = 'When I go to the store, I want a'\n",
"We create a search file ([API reference](https://beta.openai.com/docs/api-reference/files/list)), which can be used to retrieve the relevant context when a question is asked.\n"
"## 2.5 Search file (DEPRECATED)\n",
"We create a search file ([API reference](https://beta.openai.com/docs/api-reference/files/list)), which can be used to retrieve the relevant context when a question is asked.\n",
"\n",
"<span style=\"color:orange\">**DEPRECATED: The /search endpoint is deprecated in favour of using embeddings. Embeddings are cheaper, faster and can support a better search experience. See [Question Answering Guide](https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb) for a search implementation using the embeddings**</span>\n"