Flipboard

APRIL 23, 2025

Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale. The system then orchestrates the creation of necessary model endpoints, processes documents in batches for efficiency, and automatically cleans up resources upon completion.

AWS 108

AWS ML ML AI 108

AWS Machine Learning Blog

DECEMBER 4, 2024

Expand to generative AI use cases with your existing AWS and Tecton architecture After you’ve developed ML features using the Tecton and AWS architecture, you can extend your ML work to generative AI use cases. You can also find Tecton at AWS re:Invent. This process is shown in the following diagram.

ML 101

ML ML AWS AI 101

AWS Machine Learning Blog

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production).

ML 129

ML ML AWS Machine Learning 129

AWS Machine Learning Blog

MAY 23, 2023

In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture. We finish with a case study highlighting the benefits realize by a large AWS and PwC customer who implemented this solution. The following diagram illustrates the workflow.

Machine Learning 101

Machine Learning Machine Learning AWS ML 101

AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Moreover, these teams might be geographically dispersed and run their workloads in different locations and regions; many hosted on AWS, some elsewhere.

AWS 116

AWS AI AI Machine Learning 116