CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells Yuansong Zeng, Jiancong Xie, Ningyuan Shangguan, Zhuoyi Wei, Wenbing Li, Yun Su, Shuangyu Yang, Chengyang Zhang, Jinbo Zhang, Nan Fang, Hongyu Zhang, Yutong Lu, Huiying Zhao,...
To support large-scale pre-training, we collected over 1.36 million echocardiograms from ten standard views, along with their 3D spatial poses. In the downstream probe guidance task, we demonstrate that our pre-trained model consistently reduces guidance errors across the ten most common standard ...
{The success of Transformer models has pushed the deep learning model scale to billions of parameters, but the memory limitation of a single GPU has led to an urgent need for training on multi-GPU clusters. However, the best practice for choosing the optimal parallel strategy is still lacking...
LLaVA-Med LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day Coming soon A large-scale, broad-coverage biomedical instruction-following dataset GPT4Tools GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction Link Tool-related instruction dataset...
with#ChristopherCozier(2024) It Had Already Been Decided. Reflection on privilege and power of watching others, with histories of colonialization, spectacle and resource extraction. Outdoor sculpture has been produced at full scale cross town. (Contemporary Arts Center, Camp Street, New Orleans) ...
The urban planning issues that have been analysed case by case depending on a limited database in the past will be easily reviewed on the city scale, e.g. ‘which areas of the city are upgrading and which are decaying’ and ‘how do new built projects complement existing buildings' ...
Gu cited the example of JD managing over 57 million SKUs, where small parameter variations across similar products can complicate price comparison and regulatory compliance. "Manual coordination simply can't scale to this level of complexity," he said. ...
Gu cited the example of JD managing over 57 million SKUs, where small parameter variations across similar products can complicate price comparison and regulatory compliance. "Manual coordination simply can't scale to this level of complexity," he said.In one notable case, JD helped a nuclear ...
The process you use to train and develop your own small-but-functional model in this book follows the same steps used to deliver huge-scale foundation models like GPT-4。 Your small-scale LLM can be developed on an ordinary laptop, and you’ll be able to use it as your own personal as...
we pre-train our transformer model using global and local views via a self-supervised manner, aiming to make it robust to spatial-temporal variations and discriminative across different scenes. To develop the foundation model, we construct a large-scale endoscopy video dataset by combining 9 publicl...