2013, Clustering and ETL - Data Science Current

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

AWS Machine Learning Blog

FEBRUARY 2, 2024

In this post, you’ll see an example of performing drift detection on embedding vectors using a clustering technique with large language models (LLMS) deployed from Amazon SageMaker JumpStart. Then we use K-Means to identify a set of cluster centers. A visual representation of the silhouette score can be seen in the following figure.

AWS

AWS Clustering ETL Database

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

NOVEMBER 24, 2023

Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. Specifically, your job is to create a JSON representation of an ETL pipeline which will solve the user request provided to you.

Database

Database AWS ETL SQL

Data Science Current

Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

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