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docs: added comment from azure llm to azure chat about GPT-4 (#7884)

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Azure GPT-4 models can't be accessed via LLM model. It's easy to miss
that and a lot of discussions about that are on the Internet. Therefore
I added a comment in Azure LLM docs that mentions that and points to
Azure Chat OpenAI docs.
@baskaryan

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
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maciej-skorupka 2023-07-18 15:05:41 +00:00 committed by GitHub
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4
docs/extras/modules/model_io/models/llms/integrations/azure_openai_example.ipynb
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@ -36,6 +36,8 @@
"## Deployments\n", "## Deployments\n",
"With Azure OpenAI, you set up your own deployments of the common GPT-3 and Codex models. When calling the API, you need to specify the deployment you want to use.\n", "With Azure OpenAI, you set up your own deployments of the common GPT-3 and Codex models. When calling the API, you need to specify the deployment you want to use.\n",
"\n", "\n",
"_**Note**: These docs are for the Azure text completion models. Models like GPT-4 are chat models. They have a slightly different interface, and can be accessed via the `AzureChatOpenAI` class. For docs on Azure chat see [Azure Chat OpenAI documentation](/docs/modules/model_io/models/chat/integrations/azure_chat_openai)._\n",
"\n",
"Let's say your deployment name is `text-davinci-002-prod`. In the `openai` Python API, you can specify this deployment with the `engine` parameter. For example:\n", "Let's say your deployment name is `text-davinci-002-prod`. In the `openai` Python API, you can specify this deployment with the `engine` parameter. For example:\n",
"\n", "\n",
"```python\n", "```python\n",
@ -176,7 +178,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.1" "version": "3.11.3"
}, },
"vscode": { "vscode": {
"interpreter": { "interpreter": {