From 6ad8aa552d528eb63cbe32fba9751ec6e89d73c8 Mon Sep 17 00:00:00 2001 From: Heidi Steen <1612796+HeidiSteen@users.noreply.github.com> Date: Sun, 22 Sep 2024 20:09:38 -0700 Subject: [PATCH 1/5] Add lightbox to images --- articles/search/vector-search-index-size.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/articles/search/vector-search-index-size.md b/articles/search/vector-search-index-size.md index 06009d5098..b3951af8a6 100644 --- a/articles/search/vector-search-index-size.md +++ b/articles/search/vector-search-index-size.md @@ -52,11 +52,11 @@ Newer services created after April 3, 2024 offer five to ten times more vector s 1. Select the deployment. If you have more than one, click through to see if it resolves to your search service. - :::image type="content" source="media/vector-search-index-size/resource-group-deployments.png" alt-text="Screenshot of a filtered deployments list."::: + :::image type="content" source="media/vector-search-index-size/resource-group-deployments.png" lightbox="media/vector-search-index-size/resource-group-deployments.png" alt-text="Screenshot of a filtered deployments list."::: 1. Expand deployment details. You should see *Created* and the creation date. - :::image type="content" source="media/vector-search-index-size/deployment-details.png" alt-text="Screenshot of the deployment details showing creation date."::: + :::image type="content" source="media/vector-search-index-size/deployment-details.png" lightbox="media/vector-search-index-size/deployment-details.png" alt-text="Screenshot of the deployment details showing creation date."::: 1. Now that you know the age of your search service, review the vector quota limits based on service creation: [Vector index size limits](search-limits-quotas-capacity.md#vector-index-size-limits). From 3ea56ba9cbf71dc48e1bb8564535a685f4df3dab Mon Sep 17 00:00:00 2001 From: Heidi Steen <1612796+HeidiSteen@users.noreply.github.com> Date: Mon, 23 Sep 2024 06:02:51 -0700 Subject: [PATCH 2/5] more lightboxes --- articles/search/search-sku-tier.md | 2 +- articles/search/tutorial-rag-build-solution-pipeline.md | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/articles/search/search-sku-tier.md b/articles/search/search-sku-tier.md index 2218327b1e..e7020c3d21 100644 --- a/articles/search/search-sku-tier.md +++ b/articles/search/search-sku-tier.md @@ -33,7 +33,7 @@ Billing rates are shown in the portal's **Select Pricing Tier** page. You can ch Tiers include **Free**, **Basic**, **Standard**, and **Storage Optimized**. Standard and Storage Optimized are available with several configurations and capacities. The following screenshot from Azure portal shows the available tiers, minus pricing (which you can find in the portal and on the [pricing page](https://azure.microsoft.com/pricing/details/search/)). -:::image type="content" source="media/search-sku-tier/tiers.png" alt-text="Pricing tier chart" border="true"::: +:::image type="content" source="media/search-sku-tier/tiers.png" lightbox="media/search-sku-tier/tiers.png" alt-text="Pricing tier chart" border="true"::: **Free** creates a [limited search service](search-limits-quotas-capacity.md#subscription-limits) for smaller projects, like running tutorials and code samples. Internally, system resources are shared among multiple subscribers. You can't scale a free service, run significant workloads, and some premium features aren't available. You can only have one free search service per Azure subscription. diff --git a/articles/search/tutorial-rag-build-solution-pipeline.md b/articles/search/tutorial-rag-build-solution-pipeline.md index 94b5e3fe5a..7ffb7f46e6 100644 --- a/articles/search/tutorial-rag-build-solution-pipeline.md +++ b/articles/search/tutorial-rag-build-solution-pipeline.md @@ -8,7 +8,7 @@ author: HeidiSteen ms.author: heidist ms.service: cognitive-search ms.topic: tutorial -ms.date: 09/12/2024 +ms.date: 09/23/2024 --- @@ -99,7 +99,7 @@ print(f"{result.name} created") In this step, set up the sample data and a connection to Azure Blob Storage. The indexer retrieves PDFs from a container. You create the container and upload files in this step. -The original ebook is large, over 100 pages and 35 MB in size. We broke it up into smaller PDFs, one per page of text, to stay under the REST API payload limit of 16 MB per API call. For simplicity, we omit image vectorization for this exercise. +The original ebook is large, over 100 pages and 35 MB in size. We broke it up into smaller PDFs, one per page of text, to stay under the [API payload limit](search-limits-quotas-capacity.md#api-request-limits) of 16 MB per API call and also the [AI enrichment data limits](search-limits-quotas-capacity.md#data-limits-ai-enrichment). For simplicity, we omit image vectorization for this exercise. 1. Sign in to the Azure portal and find your Azure Storage account. From 624ac7f93dae43b369a4d47348bb7a7d0e4ae408 Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Mon, 23 Sep 2024 11:02:44 -0500 Subject: [PATCH 3/5] address uuf --- articles/machine-learning/quickstart-create-resources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/machine-learning/quickstart-create-resources.md b/articles/machine-learning/quickstart-create-resources.md index 7d3fd58503..f1301d3210 100644 --- a/articles/machine-learning/quickstart-create-resources.md +++ b/articles/machine-learning/quickstart-create-resources.md @@ -79,7 +79,7 @@ You'll use the *compute instance* to run Jupyter notebooks and Python scripts in :::image type="content" source="media/quickstart-create-resources/create-compute.png" alt-text="Screenshot shows create compute in the New list."::: 1. Supply a name. -1. Keep the default values for the rest of the page. +1. Keep the default values for the rest of the page, unless your organization requires other settings. 1. Select **Review + Create**. 1. Select **Create**. From ddbef52a17f3d04a988286d0f4c3aa758c4730cd Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Mon, 23 Sep 2024 11:03:20 -0500 Subject: [PATCH 4/5] reword --- articles/machine-learning/quickstart-create-resources.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/articles/machine-learning/quickstart-create-resources.md b/articles/machine-learning/quickstart-create-resources.md index f1301d3210..a44f26a34c 100644 --- a/articles/machine-learning/quickstart-create-resources.md +++ b/articles/machine-learning/quickstart-create-resources.md @@ -79,7 +79,7 @@ You'll use the *compute instance* to run Jupyter notebooks and Python scripts in :::image type="content" source="media/quickstart-create-resources/create-compute.png" alt-text="Screenshot shows create compute in the New list."::: 1. Supply a name. -1. Keep the default values for the rest of the page, unless your organization requires other settings. +1. Keep the default values for the rest of the page, unless your organization policy requires you to change other settings. 1. Select **Review + Create**. 1. Select **Create**. From e516c609ee2f80b3146f886c1719939d7c85886b Mon Sep 17 00:00:00 2001 From: Sheri Gilley Date: Mon, 23 Sep 2024 11:34:14 -0500 Subject: [PATCH 5/5] Freshness - how-to-customize-compute-instance --- .../how-to-customize-compute-instance.md | 16 ++++++++++------ 1 file changed, 10 insertions(+), 6 deletions(-) diff --git a/articles/machine-learning/how-to-customize-compute-instance.md b/articles/machine-learning/how-to-customize-compute-instance.md index 3bc5780c47..7736bfaf41 100644 --- a/articles/machine-learning/how-to-customize-compute-instance.md +++ b/articles/machine-learning/how-to-customize-compute-instance.md @@ -9,17 +9,19 @@ ms.topic: how-to ms.author: sgilley author: sdgilley ms.reviewer: vijetaj -ms.date: 03/13/2024 +ms.date: 09/23/2024 ms.custom: update-code --- # Customize the compute instance with a script -Use a setup script for an automated way to customize and configure a compute instance at provisioning time. +Use a setup script for an automated way to customize and configure a compute instance at provisioning time. Use a compute instance as your fully configured and managed development environment in the cloud. For development and testing, you can also use the instance as a [training compute target](concept-compute-target.md#training-compute-targets) or for an [inference target](concept-compute-target.md#compute-targets-for-inference). A compute instance can run multiple jobs in parallel and has a job queue. As a development environment, a compute instance can't be shared with other users in your workspace. -As an administrator, you can write a customization script to be used to provision all compute instances in the workspace according to your requirements. You can configure your setup script as a Creation script, which will run once when the compute instance is created. Or you can configure it as a Startup script, which will run every time the compute instance is started (including initial creation). +As an administrator, you can write a customization script to be used to provision all compute instances in the workspace according to your requirements. You can configure your setup script as a: +* Creation script - runs once when the compute instance is created. +* Startup script- runs every time the compute instance is started (including initial creation). Some examples of what you can do in a setup script: @@ -97,10 +99,12 @@ In a Resource Manager [template](https://github.com/Azure/azure-quickstart-templ } ``` -`scriptData` above specifies the location of the creation script in the notebooks file share such as `Users/admin/testscript.sh`. -`scriptArguments` is optional above and specifies the arguments for the creation script. +`scriptData` in this code specifies the location of the creation script in the notebooks file share such as `Users/admin/testscript.sh`. +`scriptArguments` is optional and specifies the arguments for the creation script. -You could instead provide the script inline for a Resource Manager template. The shell command can refer to any dependencies uploaded into the notebooks file share. When you use an inline string, the working directory for the script is `/mnt/batch/tasks/shared/LS_root/mounts/clusters/**\**/code/Users`. +You could instead provide the script inline for a Resource Manager template. The shell command can refer to any dependencies uploaded into the notebooks file share. When you use an inline string, the working directory for the script is `/mnt/batch/tasks/shared/LS_root/mounts/clusters//code/Users`, where .`` is the name of the compute instance. + +```json For example, specify a base64 encoded command string for `scriptData`: