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Automate Amazon SageMaker Pipelines DAG creation

AWS Machine Learning

Model governance – The Amazon SageMaker Model Registry integration allows for tracking model versions, and therefore promoting them to production with confidence. You can then iterate on preprocessing, training, and evaluation scripts, as well as configuration choices. script is used by pipeline_service.py The model_unit.py

Scripts 87
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­­Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

AWS Machine Learning

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Next, you need to create a Python script to run the Iceberg procedures. AWS Glue Job setup.

Scripts 72
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. Many AWS customers align to industry standard frameworks, such as the NIST Cybersecurity Framework.

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Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. You can use this script add_users_and_groups.py

APIs 69
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Machine learning with decentralized training data using federated learning on Amazon SageMaker

AWS Machine Learning

Machine learning (ML) is revolutionizing solutions across industries and driving new forms of insights and intelligence from data. Many ML algorithms train over large datasets, generalizing patterns it finds in the data and inferring results from those patterns as new unseen records are processed. script and a utils.py

Scripts 70
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Before you can write scripts that use the Amazon Bedrock API, you’ll need to install the appropriate version of the AWS SDK in your environment. Information that identifies you may be shared with doctors responsible for your care or for audits and evaluations by government agencies, but talks and papers about the study will not identify you.

APIs 108
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The State of the Bot Going Into 2018

Aspect

Much like in 2016, this year I’ve had countless conversations about chatbot needs with numerous customers, prospects, and partners around the globe, and it’s clear to me that as an industry we have made progress. RFPs for chatbots have arisen in verticals as diverse as banking, government, healthcare, and retail.

Chatbots 116