From 775a137f6563b8c91f233abefa5c644c404c333a Mon Sep 17 00:00:00 2001 From: Hiroshi Yoshioka <40815708+hyoshioka0128@users.noreply.github.com> Date: Sun, 28 Apr 2024 00:36:58 +0900 Subject: [PATCH] =?UTF-8?q?Update=20OpenAI.ipynb=20(Typo=20"Azure=20Open?= =?UTF-8?q?=20AI"=E2=86=92"Azure=20OpenAI")?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit https://github.com/microsoft/SynapseML/blob/master/docs/Explore%20Algorithms/OpenAI/OpenAI.ipynb #PingMSFTDocs --- docs/Explore Algorithms/OpenAI/OpenAI.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/Explore Algorithms/OpenAI/OpenAI.ipynb b/docs/Explore Algorithms/OpenAI/OpenAI.ipynb index da8830ad76..531a376143 100644 --- a/docs/Explore Algorithms/OpenAI/OpenAI.ipynb +++ b/docs/Explore Algorithms/OpenAI/OpenAI.ipynb @@ -18,7 +18,7 @@ "source": [ "# Azure OpenAI for big data\n", "\n", - "The Azure OpenAI service can be used to solve a large number of natural language tasks through prompting the completion API. To make it easier to scale your prompting workflows from a few examples to large datasets of examples, we have integrated the Azure OpenAI service with the distributed machine learning library [SynapseML](https://www.microsoft.com/en-us/research/blog/synapseml-a-simple-multilingual-and-massively-parallel-machine-learning-library/). This integration makes it easy to use the [Apache Spark](https://spark.apache.org/) distributed computing framework to process millions of prompts with the OpenAI service. This tutorial shows how to apply large language models at a distributed scale using Azure Open AI. " + "The Azure OpenAI service can be used to solve a large number of natural language tasks through prompting the completion API. To make it easier to scale your prompting workflows from a few examples to large datasets of examples, we have integrated the Azure OpenAI service with the distributed machine learning library [SynapseML](https://www.microsoft.com/en-us/research/blog/synapseml-a-simple-multilingual-and-massively-parallel-machine-learning-library/). This integration makes it easy to use the [Apache Spark](https://spark.apache.org/) distributed computing framework to process millions of prompts with the OpenAI service. This tutorial shows how to apply large language models at a distributed scale using Azure OpenAI. " ] }, {