A new paper out this week at Arxiv addresses an issue which anyone who has adopted the Hunyuan Video or Wan 2.1 AI video generators will have come across by now: temporal aberrations, where the generative process tends to abruptly speed up, conflate, omit, or otherwise mess up crucial moments in a generated video: Click […]<br /> The post Better Generative AI Video by Shuffling Frames During Training appeared first on Unite.AI. [...]
Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean [...]
Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it [...]
Mistral AI on Monday launched Forge, an enterprise model training platform that allows organizations to build, customize, and continuously improve AI models using their own proprietary data — a move [...]
Black Forest Labs (BFL) is expanding its FLUX family beyond image generation with today's launch of FLUX 3, a multimodal frontier model trained to understand and generate images, or combined audi [...]