AWS Machine Learning Blog

NOVEMBER 9, 2023

Automated retraining mechanism – The training pipeline built with SageMaker Pipelines is triggered whenever a data drift is detected in the inference pipeline. After it’s trained, the model is registered into the central model registry to be approved by a model approver.

Data Drift 119

Data Drift Auto-complete ML Automation 119

AWS Machine Learning Blog

OCTOBER 17, 2024

Amazon SageMaker Studio is the latest web-based experience for running end-to-end machine learning (ML) workflows. This function is responsible for automating the configuration of SageMaker Studio domains to use a shared EFS file system within a specific VPC. In her free time, Irene enjoys traveling and hiking.

Data Science 110

Data Science ML Machine Learning Computer Vision 110

AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. The agent returns the LLM response to the chatbot UI or the automated process.

Metadata 98

Metadata Generative AI LLM Data Ingestion 98

Flipboard

MARCH 7, 2023

The main benefits of this approach are a high level of version control and reproducibility of an ML runtime environment and immediate availability of library packages because they’re installed in the image. You can implement comprehensive tests, governance, security guardrails, and CI/CD automation to produce custom app images.

Python 123

Python Data Scientist Data Science Automation 123

AWS Machine Learning Blog

AUGUST 31, 2023

Implementing these guardrails is getting harder for enterprises because the ML processes and activities within enterprises are becoming more complex due to the inclusion of deeply involved processes that require contributions from multiple stakeholders and personas. For more information, refer to Configure the AWS CLI.

ML 110

ML Data Scientist Machine Learning Automation 110

AWS Machine Learning Blog

AUGUST 31, 2023

Implementing these guardrails is getting harder for enterprises because the ML processes and activities within enterprises are becoming more complex due to the inclusion of deeply involved processes that require contributions from multiple stakeholders and personas. For more information, refer to Configure the AWS CLI.

ML 52

ML Data Scientist Machine Learning Automation 52