10 MLOps Tools for Machine Learning Practitioners to Know
Machine learning is not just about building models.
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 …
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 …
Google claims Gemini 2.5 Pro preview beats DeepSeek R1 and Grok 3 Beta in coding performance
Google said the newest version of Gemini 2.5 Pro, now on preview, gives faster and more creative responses while performing better than OpenAI’s o3.Read More
Silicon Valley Is Starting to Pick Sides in Musk and Trump’s Breakup
As Elon Musk and US president Trump spar on social media, tech investors and executives are being forced to choose whether to support the most powerful man in business—or the White House.
How can we tell if AI is lying? New method tests whether AI explanations are truthful
Given the recent explosion of large language models (LLMs) that can make convincingly human-like statements, it makes sense that there’s been a deepened focus on developing the models to be able to explain how they make decisions. But how can we be sure that what they’re saying is the truth?
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 …
NumPy Ninjutsu: Mastering Array Operations for High-Performance Machine Learning
Machine learning workflows typically involve plenty of numerical computations in the form of mathematical and algebraic operations upon data stored as large vectors, matrices, or even tensors — matrix counterparts with three or more dimensions.
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 …
Impel enhances automotive dealership customer experience with fine-tuned LLMs on Amazon SageMaker
This post is co-written with Tatia Tsmindashvili, Ana Kolkhidashvili, Guram Dentoshvili, Dachi Choladze from Impel. Impel transforms automotive retail through an AI-powered customer lifecycle management solution that drives dealership operations and customer interactions. Their core product, Sales AI, provides all-day personalized customer engagement, handling vehicle-specific questions and automotive trade-in and financing inquiries. By replacing their …