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Considerations for addressing the core dimensions of responsible AI for Amazon Bedrock applications

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 113
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. To help you get started with the new API, we have published two Jupyter notebook examples: one for node classification, and one for a link prediction task. Specifically, GraphStorm 0.3

APIs 120
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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

In this post, we will continue to build on top of the previous solution to demonstrate how to build a private API Gateway via Amazon API Gateway as a proxy interface to generate and access Amazon SageMaker presigned URLs. The user invokes createStudioPresignedUrl API on API Gateway along with a token in the header.

APIs 98
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Overcoming the Great Resignation with Lessons Learned from CX Best Practices

CSM Magazine

As a CX consultant with decades of experience in contact center solutions, Avtex has a unique viewpoint to the changing landscape of both CX and EX best practices. If your organization is ready to begin aligning your employee experience with the new world of work, here a few quick strategies you can use to get started: 1.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

Standard development best practices and effective cloud operating models, like AWS Well-Architected and the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI , are key to enabling teams to spend most of their time on tasks with high business value, rather than on recurrent, manual operations.

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Enhance speech synthesis and video generation models with RLHF using audio and video segmentation in Amazon SageMaker

AWS Machine Learning

This setup follows AWS best practices for least-privilege access, making sure CloudFront can only access the specific UI files needed for the annotation interface. Programmatic setup Alternatively, you can create your labeling job programmatically using the CreateLabelingJob API. documentation.

APIs 104
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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

We suggest consulting LLM prompt engineering documentation such as Anthropic prompt engineering for experiments. Refer to Getting started with the API to set up your environment to make Amazon Bedrock requests through the AWS API. I've immediately revoked the compromised API credentials and initiated our security protocol.

Education 113