The MLOps Blog

OCTOBER 3, 2023

She is currently the head of MLOps at FeatureForm , a virtual feature store. I was there before and after the big $14 billion acquisition (or something like that) by Intuit – so I was there during the handoff. How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right?

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Generative AI foundation models have been the focus of most of the ML and artificial intelligence research and use cases for over a year now.

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AWS Machine Learning Blog

AUGUST 29, 2023

In this post, we describe how to create an MLOps workflow for batch inference that automates job scheduling, model monitoring, retraining, and registration, as well as error handling and notification by using Amazon SageMaker , Amazon EventBridge , AWS Lambda , Amazon Simple Notification Service (Amazon SNS), HashiCorp Terraform, and GitLab CI/CD.

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AWS Data Quality Data Scientist Python 72

AWS Machine Learning Blog

MAY 8, 2023

The AWS CDK is an open-source software development framework to create AWS CloudFormation stacks through automatic CloudFormation template generation. A stack is a collection of AWS resources that can be programmatically updated, moved, or deleted. The following diagram illustrates the MLflow login flow.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

During operationalization, the CI pipeline clones the framework code repository and project-specific training repositories into an AWS CodeBuild job, where the framework’s entry point script is called to create or update the SageMaker Pipelines training DAG, and then run it. We discuss the configuration file structure in the next section.

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