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Modernize and migrate on-premises fraud detection machine learning workflows to Amazon SageMaker

This post is co-written with Qing Chen and Mark Sinclair from Radial. Radial is the largest 3PL fulfillment provider, also offering integrated payment, fraud detection, and omnichannel solutions to mid-market and enterprise brands. With over 30 years of industry expertise, Radial tailors its services and solutions to align strategically with each brand’s unique needs. Radial …

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Google is a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms report

Today, we are excited to announce that Gartner® has named Google as a Leader in the 2025 Magic Quadrant™ for Data Science and Machine Learning Platforms report (DSML). We believe that this recognition is a reflection of continued innovations to address the needs of data science and machine learning teams, as well as new types …

This sub has SERIOUSLY slept on Chroma. Chroma is basically Flux Pony. It’s not merely “uncensored but lacking knowledge.” It’s the thing many people have been waiting for

I’ve been active on this sub basically since SD 1.5, and whenever something new comes out that ranges from “doesn’t totally suck” to “Amazing,” it gets wall to wall threads blanketing the entire sub during what I’ve come to view as a new model “Honeymoon” phase. All a model needs to get this kind of …

Proxy-FDA: Proxy-Based Feature Distribution Alignment for Fine-Tuning Vision Foundation Models Without Forgetting

Vision foundation models pre-trained on massive data encode rich representations of real-world concepts, which can be adapted to downstream tasks by fine-tuning. However, fine-tuning foundation models on one task often leads to the issue of concept forgetting on other tasks. Recent methods of robust fine-tuning aim to mitigate forgetting of prior knowledge without affecting the …