Remove Accountability Remove APIs Remove Transportation
article thumbnail

Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

AWS recommends using AWS IAM Identity Center when you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. illustrate how the administrators can automate Steps 2 and 3 using AWS APIs. and oidcapp.py

APIs 79
article thumbnail

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

Deutsche Bahn is a leading transportation organization in Germany with a revenue of 56.3 They offer a wide range of services, including public and regional transport, freight services, and rail infrastructure. They offer a wide range of services, including public and regional transport, freight services, and rail infrastructure.

APIs 124
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

article thumbnail

Develop generative AI applications to improve teaching and learning experiences

AWS Machine Learning

Amazon Bedrock is a fully managed service that makes foundation models from leading AI startups and Amazon available via easy-to-use API interfaces. The solution also uses the grammatical error correction API and the paraphrase API from AI21 to recommend word and sentence corrections. The following is the generated image output.

APIs 129
article thumbnail

Falcon 2 11B is now available on Amazon SageMaker JumpStart

AWS Machine Learning

Prerequisites To try out the Falcon 2 model using SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. Make sure you have the account-level service limit for one or more of these instance types to deploy this model. Falcon 2 11B will require g5 and p4 instances.

article thumbnail

Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

article thumbnail

Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs 110