AWS sagemaker-unified-studio documentation change
Summary
Updated documentation to streamline references to 'Amazon Bedrock' by removing redundant 'in SageMaker Unified Studio' qualifiers. Added details about model selection requirements and expanded functionality descriptions for chat agent apps.
Security assessment
Changes primarily involve branding consistency and documentation clarity improvements. While guardrails and content filtering are mentioned, these are existing security controls being referenced rather than new security-related updates. No specific vulnerabilities or new security features are introduced.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/create-chat-app-with-components.md b/sagemaker-unified-studio/latest/userguide/create-chat-app-with-components.md index 82534fc1b..dddd5c9cb 100644 --- a//sagemaker-unified-studio/latest/userguide/create-chat-app-with-components.md +++ b//sagemaker-unified-studio/latest/userguide/create-chat-app-with-components.md @@ -7 +7 @@ Step 1: Create the initial chat agent appAdd a guardrailAdd a document data sour -# Create a chat agent app +# Create a chat agent app with Amazon Bedrock @@ -9 +9,3 @@ Step 1: Create the initial chat agent appAdd a guardrailAdd a document data sour -In this section, you learn how create a simple Amazon Bedrock in SageMaker Unified Studio chat agent app that creates playlists for a radio station. Later, you add the following features. +In this section, you learn how create a simple Amazon Bedrock in SageMaker Unified Studio chat agent app that creates playlists for a radio station. + +The app can generate playlists and get the dates and locations of upcoming shows. Later, you add the following Amazon Bedrock features. @@ -37 +39 @@ In this step you create a chat agent app that generates playlists for a radio st -To create the app, you first need to create an Amazon SageMaker Unified Studio [project](./projects.html). A project can contain multiple apps and is also where you can add the Amazon Bedrock components that you want your apps to use. Later you will add guardail, data source, and function components to your app. You can share a project with other users and groups of users. For more information, see [Share an Amazon Bedrock in SageMaker Unified Studio chat agent app](./app-share.html). +To create the app, you first need to create an Amazon SageMaker Unified Studio [project](./projects.html). A project can contain multiple apps and is also where you can add the Amazon Bedrock components that you want your apps to use. Later you will add guardail, data source, and function components to your app. You can share a project with other users and groups of users. For more information, see [Share an Amazon Bedrock chat agent app](./app-share.html). @@ -45 +47 @@ In the app, you can experiment with the randomness and diversity of the response -While you develop your app, you work on the current draft. You can save the current draft to the app history. Later you might want to restart work from a previous draft. For more information, see [Use app history to view and restore versions of an app](./app-history.html). +While you develop your app, you work on the current draft. You can save the current draft to the app history. Later you might want to restart work from a previous draft. For more information, see [Use app history to view and restore versions of an Amazon Bedrock app](./app-history.html). @@ -51 +53 @@ Generative AI may give inaccurate responses. Avoid sharing sensitive information -###### To create an Amazon Bedrock in SageMaker Unified Studio chat agent app +###### To create an Amazon Bedrock chat agent app @@ -69 +71 @@ Generative AI may give inaccurate responses. Avoid sharing sensitive information - 1. For **Models** , select a model that supports Guardrails, Data, and Function components. The description of the model tells you the components that a model supports. If you don't have access to an appropriate model, contact your administrator. Different models might not support all features. + 1. For **Model** , select a model that supports Guardrails, Data, and Function components. The description of the model tells you the components that a model supports. For full information about the model, choose **View full model details** in the information panel. For more information, see [Find serverless models with the Amazon Bedrock model catalog](./model-catalog.html). If you don't have access to an appropriate model, contact your administrator. Different models might not support all features. @@ -107 +109 @@ The inference parameters you can change are _Temperature_ , _Top P_ , and _Top K - 12. (Optional) Share a snapshot of your app with others by following the instructions at [Share an Amazon Bedrock in SageMaker Unified Studio chat agent app](./app-share.html). + 12. (Optional) Share a snapshot of your app with others by following the instructions at [Share an Amazon Bedrock chat agent app](./app-share.html). @@ -118 +120 @@ The inference parameters you can change are _Temperature_ , _Top P_ , and _Top K -Guardrails for Amazon Bedrock lets you implement safeguards for your Amazon Bedrock in SageMaker Unified Studio app based on your use cases and responsible AI policies. You can create multiple guardrails tailored to different use cases and apply them across multiple foundation models, providing a consistent user experience and standardizing safety controls across generative AI apps. You can configure denied topics to disallow undesirable topics and content filters to block harmful content in the prompts you send to a model and to the responses you get from a model. You can use guardrails with text-only foundation models. For more information, see [Safeguard your Amazon Bedrock in SageMaker Unified Studio app with a guardrail](./guardrails.html). +Guardrails for Amazon Bedrock lets you implement safeguards for your Amazon Bedrock in SageMaker Unified Studio app based on your use cases and responsible AI policies. You can create multiple guardrails tailored to different use cases and apply them across multiple foundation models, providing a consistent user experience and standardizing safety controls across generative AI apps. You can configure denied topics to disallow undesirable topics and content filters to block harmful content in the prompts you send to a model and to the responses you get from a model. You can use guardrails with text-only foundation models. For more information, see [Safeguard your Amazon Bedrock app with a guardrail](./guardrails.html). @@ -124 +126 @@ This procedure shows you how to use a guardrail to safeguard the app you created -###### To add a guardrail to an Amazon Bedrock in SageMaker Unified Studio app +###### To add a guardrail to an Amazon Bedrock app @@ -189 +191 @@ To add the filter, do the following. -You can use your own data into your application by adding a data source to your app. Doing this allows your app to access to information that is only available to you. When your app passes a query to a data source, Amazon Bedrock in SageMaker Unified Studio generates a response that includes the query results from the data source. A data source can be a single file or an Amazon Bedrock Knowledge Base. For more information, see [Add a data source to your app](./data-sources.html). +You can use your own data into your application by adding a data source to your app. Doing this allows your app to access to information that is only available to you. When your app passes a query to a data source, Amazon Bedrock in SageMaker Unified Studio generates a response that includes the query results from the data source. A data source can be a single file or an Amazon Bedrock Knowledge Base. For more information, see [Add a data source to your Amazon Bedrock app](./data-sources.html). @@ -193 +195 @@ In this topic, you update the app you created in Step 1: Create the initial chat -###### To add your own data to an Amazon Bedrock in SageMaker Unified Studio app +###### To add your own data to an Amazon Bedrock app @@ -270 +272 @@ For more information, see [Document data source](./data-source-document.html). -Amazon Bedrock in SageMaker Unified Studio functions let a model include information that it has no previous knowledge of in its response. For example, you can use a function to include dynamic information in a model's response such as a weather forecast, sports results, or traffic conditions. To use a function in Amazon Bedrock in SageMaker Unified Studio you add a function component to your app. For more information, see [Call functions from your chat agent app](./functions.html). +Amazon Bedrock in SageMaker Unified Studio functions let a model include information that it has no previous knowledge of in its response. For example, you can use a function to include dynamic information in a model's response such as a weather forecast, sports results, or traffic conditions. To use a function in Amazon Bedrock in SageMaker Unified Studio you add a function component to your app. For more information, see [Call functions from your Amazon Bedrock chat agent app](./functions.html). @@ -276 +278 @@ In this procedure, you add a function to the app that you created in Step 1: Cre -###### To add a function to an Amazon Bedrock in SageMaker Unified Studio app +###### To add a function to an Amazon Bedrock app