LAS VEGAS — Max Verstappen won the Las Vegas Grand Prix on Saturday night after capturing the lead from championship leader Lando Norris at the start and never looking back. The Formula 1 cars blasted ...

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python code. Perfect for those diving into advanced reinforcement learning ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

Red Bull star Max Verstappen won his fourth Formula 1 United States Grand Prix in five years, Sunday, Oct. 19 at the Circuit of the Americas in Austin, Texas. Verstappen started on pole and lead ...

Explore how Quantization Aware Training (QAT) and Quantization Aware Distillation (QAD) optimize AI models for low-precision environments, enhancing accuracy and inference performance. As artificial ...

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...

Abstract: This paper introduces HiTEA-3D, a design framework for High-Throughput Energy-Aware acceleration of 3D Convolutional Neural Networks (CNNs) in resource-constrained environments such as Field ...

What if you could take a innovative language model like GPT-OSS and tailor it to your unique needs, all without needing a supercomputer or a PhD in machine learning? Fine-tuning large language models ...