Remove 2012 Remove APIs Remove Examples Remove Feedback
article thumbnail

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

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 122
article thumbnail

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

AWS Machine Learning

It features interactive Jupyter notebooks with self-contained code in PyTorch, JAX, TensorFlow, and MXNet, as well as real-world examples, exposition figures, and math. ACT allows you to customize translation output on the fly by providing tailored translation examples in the form of parallel data.

APIs 73
Insiders

Sign Up for our Newsletter

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

article thumbnail

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

AWS Machine Learning

Each step requires waiting for remote compute resources to start up, which delays validating implementations and getting feedback on changes. For example, DLC-based framework images are Ubuntu based, in which the following instructions would work. API version: 1.41 (downgraded from 1.43) Go version: go1.20.10

Scripts 94
article thumbnail

Contact Center Technologies 2017: find out what 23 experts say

RichCall

For example, fax was certainly an important channel at one time (and still is in some sectors). 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.

article thumbnail

Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

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 101
article thumbnail

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

AWS Machine Learning

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 69
article thumbnail

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

AWS Machine Learning

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. For our example we will open a sample Notebook. To use the CodeWhisperer extension, ensure that you have the necessary permissions.