How to evaluate the quality of the synthetic data – measuring from the perspective of fidelity, utility, and privacy

Favorite In an increasingly data-centric world, enterprises must focus on gathering both valuable physical information and generating the information that they need but can’t easily capture. Data access, regulation, and compliance are an increasing source of friction for innovation in analytics and artificial intelligence (AI). For highly regulated sectors such

Read More
Shared by AWS Machine Learning December 16, 2022

Introducing Fortuna: A library for uncertainty quantification

Favorite Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess the reliability of model predictions, trigger human intervention, or decide whether a model can be safely deployed in the wild. We introduce Fortuna, an open-source library for uncertainty quantification. Fortuna

Read More
Shared by AWS Machine Learning December 16, 2022

Next generation Amazon SageMaker Experiments – Organize, track, and compare your machine learning trainings at scale

Favorite Today, we’re happy to announce updates to our Amazon SageMaker Experiments capability of Amazon SageMaker that lets you organize, track, compare and evaluate machine learning (ML) experiments and model versions from any integrated development environment (IDE) using the SageMaker Python SDK or boto3, including local Jupyter Notebooks. Machine learning (ML)

Read More
Shared by AWS Machine Learning December 16, 2022

LightOn Lyra-fr model is now available on Amazon SageMaker

Favorite We are thrilled to announce the availability of the LightOn Lyra-fr foundation model for customers using Amazon SageMaker. LightOn is a leader in building foundation models specializing in European languages. Lyra-fr is a state-of-the-art French language model that can be used to build conversational AI, copywriting tools, text classifiers,

Read More
Shared by AWS Machine Learning December 15, 2022

Translate multiple source language documents to multiple target languages using Amazon Translate

Favorite Enterprises need to translate business-critical content such as marketing materials, instruction manuals, and product catalogs across multiple languages to communicate with a global audience of customers, partners, and stakeholders. Identifying the source language in each document before calling a translate job creates complexities and adds another step to your

Read More
Shared by AWS Machine Learning December 14, 2022