Accountability APIs Examples 
AWS Machine Learning
NOVEMBER 7, 2024
In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post.
AWS Machine Learning
JULY 31, 2024
The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.
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AWS Machine Learning
SEPTEMBER 13, 2024
Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.
AWS Machine Learning
AUGUST 2, 2024
With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3
AWS Machine Learning
SEPTEMBER 20, 2024
Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.
AWS Machine Learning
NOVEMBER 14, 2024
For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. A tag value (for example, Production ) is also case sensitive, like the keys. Implement a tagging strategy A tag is a label you assign to an AWS resource.
AWS Machine Learning
OCTOBER 31, 2024
With this solution, you can interact directly with the chat assistant powered by AWS from your Google Chat environment, as shown in the following example. The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. The following figure illustrates the high-level design of the solution.
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