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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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Improve Amazon Nova migration performance with data-aware prompt optimization

AWS Machine Learning

In this post, we present an LLM migration paradigm and architecture, including a continuous process of model evaluation, prompt generation using Amazon Bedrock, and data-aware optimization. In this section, we present a four-step workflow and a solution architecture, as shown in the following architecture diagram.

Metrics 92
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Are You Winning on Purpose?—The Creator of the “Net Promoter” Tells Us How!

Beyond Philosophy

Back when I was working in corporate life, I went to a presentation in London. Unfortunately, Reichheld says too many organizations use NPS as a stick or a metric for earning bonuses. He says that the financial metrics most companies use for valuations point you toward the wrong investments. So, What Went Wrong with NPS?

Airlines 273
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Customized model monitoring for near real-time batch inference with Amazon SageMaker

AWS Machine Learning

In this post, we present a framework to customize the use of Amazon SageMaker Model Monitor for handling multi-payload inference requests for near real-time inference scenarios. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 117
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LLM continuous self-instruct fine-tuning framework powered by a compound AI system on Amazon SageMaker

AWS Machine Learning

To address these challenges, we present an innovative continuous self-instruct fine-tuning framework that streamlines the LLM fine-tuning process of training data generation and annotation, model training and evaluation, human feedback collection, and alignment with human preference. Set up a SageMaker notebook instance.

Benchmark 101
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Simplify Business Reviews with Totango’s Presentation Builder

Totango

Let’s take a deeper look at how the Presentation Builder works and the benefits it provides your organization. What is Presentation Builder? Totango’s Presentation Builder tool uses a visual approach to presenting and sharing customer outcomes and goals collected from account data in Totango.

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Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS

AWS Machine Learning

Current RAG pipelines frequently employ similarity-based metrics such as ROUGE , BLEU , and BERTScore to assess the quality of the generated responses, which is essential for refining and enhancing the models capabilities. More sophisticated metrics are needed to evaluate factual alignment and accuracy.

Metrics 121