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Security best practices to consider while fine-tuning models in Amazon Bedrock

AWS Machine Learning

JANUARY 24, 2025

By employing a VPC interface endpoint, you can make sure communication between your VPC and the Amazon Bedrock API endpoint occurs through a PrivateLink connection, rather than through the public internet. The following code is a sample resource policy. Provide your account, bucket name, and VPC settings. Choose Create roles.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs

APIs Big data Accountability Enterprise

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

AWS Machine Learning

JUNE 30, 2022

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

APIs Enterprise Big data Accountability

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

AWS Machine Learning

JUNE 15, 2023

We demonstrate how to use the AWS Management Console and Amazon Translate public API to deliver automatic machine batch translation, and analyze the translations between two language pairs: English and Chinese, and English and Spanish. In this post, we present a solution that D2L.ai

APIs

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Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

JULY 29, 2022

Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. Each application is configured with the Amazon API Gateway endpoint URL as its SAML backend. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management

Management APIs Accountability Construction

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

JUNE 19, 2023

Sync your AD users and groups and memberships to AWS Identity Center: If you’re using an identity provider (IdP) that supports SCIM, use the SCIM API integration with IAM Identity Center. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.

APIs

APIs Accountability Construction Enterprise

Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

FEBRUARY 6, 2024

Solution overview QnABot on AWS is a multi-channel, multi-language chatbot that responds to your customer’s questions, answers, and feedback. The workflow includes the following steps: A QnABot administrator can configure the questions using the Content Designer UI delivered by Amazon API Gateway and Amazon Simple Storage Service (Amazon S3).

Chatbots

Chatbots APIs Self service Banking

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

AWS Machine Learning

MAY 12, 2023

You can also detect many common issues that affect the readability, reproducibility, and correctness of computational notebooks, such as misuse of ML library APIs, invalid run order, and nondeterminism. Please share any feedback in the comments! To use the CodeWhisperer extension, ensure that you have the necessary permissions.

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Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

AWS Machine Learning

NOVEMBER 23, 2022

Your Studio user’s execution role needs to be updated to allow the GetClusterSessionCredentials API action. You can view the EFS volume attached with the domain by using a DescribeDomain API call. Alternatively, you can attach a role such as below, which restricts access to clusters based on resource tags. Conclusion.

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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

We encourage you try out the new model card sharing feature and let us know your feedback. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker. For more information, refer to Configure the AWS CLI.

Government

Government Accountability Enterprise Best practices

Contact Center Technologies 2017: find out what 23 experts say

RichCall

SEPTEMBER 13, 2017

In addition, the contact centre will also become a powerful resource for finding out what customers think of companies, and for capturing sentiments, feedback, needs and wants. In fact this number increased from 67% in 2012 to 84% in 2015. The contact centre will support this by providing hints, tips, education and technical support.

Contact Center

Contact Center Technology Benchmark Chatbots

Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning

AUGUST 31, 2023

We encourage you try out the new model card sharing feature and let us know your feedback. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker. For more information, refer to Configure the AWS CLI.

Government

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Top 25 SaaS Companies in the UK

SmartKarrot

JANUARY 20, 2022

Developers can achieve this through their cloud platform, which provides real-time feedback and automated solution suggestions during the development process. Duffel accomplishes this by allowing online travel agencies (OTAs) to use an API to connect directly to airlines’ reservations systems. Checkout.com was founded in 2012.

SaaS

SaaS Advertising B2B Transportation

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

AWS Machine Learning

APRIL 23, 2024

Each step requires waiting for remote compute resources to start up, which delays validating implementations and getting feedback on changes. The only way to access and interact with Docker images is via the exposed Docker API operations. API version: 1.41 (downgraded from 1.43) Go version: go1.20.10

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A review of purpose-built accelerators for financial services

AWS Machine Learning

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. in 2012 is now widely referred to as ML’s “Cambrian Explosion.” The CUDA API and SDK were first released by NVIDIA in 2007.

Benchmark

Benchmark Banking Analytics Big data

How to configure cross-account model deployment using Amazon Bedrock Custom Model Import

AWS Machine Learning

FEBRUARY 26, 2025

These imported custom models work alongside existing Amazon Bedrock foundation models (FMs) through a single, unified API in a serverless manner, alleviating the need to manage model deployment and scaling. You can also use AWS SDKs or APIs for the same purpose. Virginia) us-east-1 Region. Console support is not yet available.

Accountability

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Enhancing Citizen Engagement: AI in Government Communication

Comm100

NOVEMBER 21, 2023

The Obama administration used a Facebook-powered application to register votes and encourage them to vote for the 2012 elections. After US Senate scrutiny, a few policy changes, and a series of hefty fines, Meta added more restrictions and amended its advertiser and API policies. However, the company has a spotty political history.

Government

Government Chatbots Education Finance

Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

OCTOBER 11, 2024

Amazon Bedrock makes it straightforward to adopt any of these choices by providing a common set of APIs, industry-leading embedding models, security, governance, and observability. In this post, we discuss use cases, features, and steps to set up and retrieve information using these vector databases.

APIs

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Customer Contact Central

Security best practices to consider while fine-tuning models in Amazon Bedrock

Use AWS PrivateLink to set up private access to Amazon Bedrock

Trending Sources

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

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation

Team and user management with Amazon SageMaker and AWS SSO

Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

Integrate QnABot on AWS with ServiceNow

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

Use Amazon SageMaker Model Card sharing to improve model governance

Contact Center Technologies 2017: find out what 23 experts say

Use Amazon SageMaker Model Cards sharing to improve model governance

Top 25 SaaS Companies in the UK

Accelerate ML workflows with Amazon SageMaker Studio Local Mode and Docker support

A review of purpose-built accelerators for financial services

How to configure cross-account model deployment using Amazon Bedrock Custom Model Import

Enhancing Citizen Engagement: AI in Government Communication

Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

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