Palantir FedStart and the Path to CMMC Compliance Securing the Defense Industrial Base Never has the imperative to maintain America’s technological edge been more pressing as technology rapidly evolves and our adversaries seek to gain ground. At the heart of America’s might is the Defense Industrial Base (DIB), a coalition of more than 220,000 companies …
Time series forecasting helps businesses predict future trends based on historical data patterns, whether it’s for sales projections, inventory management, or demand forecasting. Traditional approaches require extensive knowledge of statistical methods and data science methods to process raw time series data. Amazon SageMaker Canvas offers no-code solutions that simplify data wrangling, making time series forecasting …
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We present STARFlow, a scalable generative model based on normalizing flows that achieves strong performance in high-resolution image synthesis. The core of STARFlow is Transformer Autoregressive Flow (TARFlow), which combines the expressive power of normalizing flows with the structured modeling capabilities of Autoregressive Transformers. We first establish the theoretical universality of TARFlow for modeling continuous …
Read more “STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis”
We propose a distillation scaling law that estimates distilled model performance based on a compute budget and its allocation between the student and teacher. Our findings mitigate the risks associated with large-scale distillation by enabling compute-optimal allocation for both the teacher and student to maximize student performance. We provide compute-optimal distillation recipes for two key …
We study Variational Rectified Flow Matching, a framework that enhances classic rectified flow matching by modeling multi-modal velocity vector-fields. At inference time, classic rectified flow matching ‘moves’ samples from a source distribution to the target distribution by solving an ordinary differential equation via integration along a velocity vector-field. At training time, the velocity vector-field is …
In recent years, the rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has revolutionized various aspects of digital content creation. One particularly exciting development is the emergence of video generation capabilities, which offer unprecedented opportunities for companies across diverse industries. This technology allows for the creation of short video clips that can be …
Read more “Build a scalable AI video generator using Amazon SageMaker AI and CogVideoX”
Editor’s Note: This post provides a detailed rebuttal of the multitude of misguided assertions presented in a letter received from Sen. Wyden, Rep. Ocasio-Cortez, et al., dated June 17, 2025. Our formal response to the letter is here. Introduction As a company founded in the wake of the September 11th attacks with a dual focus of …
Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer …
Read more “Meeting summarization and action item extraction with Amazon Nova”
The momentum of the Gemini 2.5 era continues to build. Following our recent announcements, we’re empowering enterprise builders and developers with even greater access to the intelligence, and flexibility of our most capable models yet, directly within Vertex AI, our unified platform for enterprise-scale AI development. The significant updates announced today are designed to help …
Explore the latest Gemini 2.5 model updates with enhanced performance and accuracy: Gemini 2.5 Pro now stable, Flash generally available, and the new Flash-Lite in preview.