It's not looking like a great year to be a Mets fan. In the wake of the franchise’s big losses, the team chose Thursday, just one day after losing Alonso, to post a promotion on their 2026 Spring ...

We present RobusTok, a new image tokenizer with a two-stage training scheme: Main training → constructs a robust latent space. Post-training → aligns the generator’s latent distribution with its image ...

According to @OriolVinyalsML, the key to Gemini 3’s remarkable progress lies in significant advancements in both pre-training and post-training of the model. Contrary to the popular belief that ...

NEWPORT NEWS, Va. — The U.S. Army has taken a significant step to modernize how it manages Soldiers’ training data. On Nov. 15, ATIS Training — a streamlined, intuitive platform for managing ...

Introduction: Early intervention is critical for improving outcomes in patients with acute coronary syndrome (ACS); thus, reducing prehospital duration is essential. Accordingly, 12-lead ...

Tests by The Post suggest the training data for OpenAI’s video generator Sora included versions of movies, TikTok clips and Netflix shows. Warning: This graphic ...

Weight lifting isn’t just for athletes or bodybuilders. Host Cristina Quinn talks with Washington Post health columnist Gretchen Reynolds about what strength training is and why even a small amount of ...

Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and architectures, hallucinations ...

Two major sources of training data exist for post-training modern language models: on-policy (model-generated rollouts) data and off-policy (human or other-model demonstrations) data. In this paper, ...

With Pittsburgh Steelers training camp in the books, we decided it was time to update our 2026 mock draft and go four rounds this time around. When we put this mock draft together, we had to give ...

Abstract: Deep neural network (DNN) deployment has been confined to larger hardware devices due to their expensive computational requirements. This challenge has recently reached another scale with ...