AWS Machine Learning Blog

JANUARY 5, 2024

Data science and DevOps teams may face challenges managing these isolated tool stacks and systems. AWS also helps data science and DevOps teams to collaborate and streamlines the overall model lifecycle process. The suite of services can be used to support the complete model lifecycle including monitoring and retraining ML models.

Data Science 135

Data Science Data Drift DevOps Auto-complete 135

The MLOps Blog

JANUARY 23, 2023

Lived through the DevOps revolution. If you’d like a TLDR, here it is: MLOps is an extension of DevOps. Not a fork: – The MLOps team should consist of a DevOps engineer, a backend software engineer, a data scientist, + regular software folks. Model monitoring tools will merge with the DevOps monitoring stack. Not a fork.

DevOps 59

DevOps Metadata Software Engineer Data Scientist 59

AWS Machine Learning Blog

MAY 31, 2024

It’s built on causal decoder-only architecture, making it powerful for auto-regressive tasks. After deployment is complete, you will see that an endpoint is created. strip() print(response) The following is the output: Sure, I'll explain the process first before giving the answer. How many dollars did I get back?

Python 122

Python Machine Learning Auto-classification ML 122

AWS Machine Learning Blog

NOVEMBER 9, 2023

Create a KMS key in the dev account and give access to the prod account Complete the following steps to create a KMS key in the dev account: On the AWS KMS console, choose Customer managed keys in the navigation pane. Choose Create key. For Key type , select Symmetric. For Script Path , enter Jenkinsfile. Choose Save.

Data Drift 123

Data Drift Auto-complete ML Automation 123

The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Can you see the complete model lineage with data/models/experiments used downstream? The platform’s labeling capabilities include flexible label function creation, auto-labeling, active learning, and so on.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

IBM Journey to AI blog

MARCH 6, 2024

A McKinsey study claims that software developers can complete coding tasks up to twice as fast with generative AI. DevOps Research and Assessment metrics (DORA), encompassing metrics like deployment frequency, lead time and mean time to recover , serve as yardsticks for evaluating the efficiency of software delivery.

Generative AI 321

Generative AI DevOps Software Development Auto-complete 321

AWS Machine Learning Blog

NOVEMBER 6, 2024

time.sleep(10) The transcription job will take a few minutes to complete. When the job is complete, you can inspect the transcription output and check the plain text transcript that was generated (the following has been trimmed for brevity): # Get the Transcribe Output JSON file s3 = boto3.client('s3') Current status is {job_status}.")

Auto-complete 119

Auto-complete Machine Learning Generative AI Large Language Models 119