| | 🧵Scaling up generative models is crucial to unlock new capabilities. But scaling down is equally necessary to democratize the end-to-end development of generative models. Excited to share our new work on scaling down diffusion generative models by drastically reducing the overhead of training them from scratch. Now anyone can train a stable-diffusion quality model from scratch in just $2,000 (2.6 training days on a single 8xH100 node). arxiv.org/abs/2407.15811 submitted by /u/1wndrla17 |
submitted by /u/Queasy-Carrot-7314 [link] [comments]
This article is divided into two parts; they are: • Architecture and Training of BERT…
Large language models (LLMs) have astounded the world with their capabilities, yet they remain plagued…
Keep your iPhone or Qi2 Android phone topped up with one of these WIRED-tested Qi2…
TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward…