DevOps, ETL and Prompt Engineering - Artificial Intelligence Zone

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning Blog

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Generative AI

Generative AI Prompt Engineering Prompt Engineer ML

Learnings From Building the ML Platform at Stitch Fix

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. We have someone from Adobe using it to help manage some prompt engineering work that they’re doing, for example.

ML Data Scientist Software Engineer Machine Learning

Artificial Intelligence Zone

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

Learnings From Building the ML Platform at Stitch Fix

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