deep learning

took the world of autonomous driving by storm with their recent AlpamayoR1 architecture integrating a big Vision-Language Model as a causally-grounded reasoning backbone. This release, accompanied by a brand new large-scale dataset and...

is a component of a series about distributed AI across multiple GPUs: Introduction Before diving into advanced parallelism techniques, we want to know the important thing technologies that enable GPUs to speak with one another. But why...

that reads your metrics, detects anomalies, applies predefined tuning rules, restarts jobs when essential, and logs every decision—without you watching loss curves at 2 a.m. In this text, I’ll provide a light-weight agent designed...

The industry’s outliers have distorted our definition of Recommender Systems. TikTok, Spotify, and Netflix employ hybrid deep learning models combining collaborative- and content-based filtering to deliver personalized recommendations you didn’t even know you’d like....

— that’s the ambitious title the authors selected for his or her paper introducing each YOLOv2 and YOLO9000. The title of the paper itself is “” , which was published back in December 2016. The...

a part of a series of posts on optimizing data transfer using NVIDIA Nsight™ Systems (nsys) profiler. Part one focused on CPU-to-GPU data copies, and part two on GPU-to-CPU copies. On this post, we turn our attention...

Introduction substitute is a staple of image editing, achieving production-grade results stays a major challenge for developers. Many existing tools work like “black boxes,” which suggests we've got little control over the balance between...

or fine-tuned an LLM, you’ve likely hit a wall on the very last step: the Cross-Entropy Loss. The offender is the logit bottleneck. To predict the subsequent token, we project a hidden state into...