We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B
parameters. We train our models on trillions of tokens, and show that it is possible to train?…

The cost of vision-and-language pre-training has become increasingly prohibitive due to
end-to-end training of large-scale models. This paper proposes BLIP-2, a generic and?…

Abstract Each year, the American Cancer Society estimates the numbers of new cancer
cases and deaths in the United States and compiles the most recent data on population?…

Background The accumulation of soluble and insoluble aggregated amyloid-beta (Aβ) may
initiate or potentiate pathologic processes in Alzheimer's disease. Lecanemab, a humanized?…

This article is the American Cancer Society's update on female breast cancer statistics in the
United States, including population?based data on incidence, mortality, survival, and?…

Abstract We introduce the Segment Anything (SA) project: a new task, model, and dataset for
image segmentation. Using our efficient model in a data collection loop, we built the largest?…

Finetuning language models on a collection of datasets phrased as instructions has been
shown to improve model performance and generalization to unseen tasks. In this paper we?…

Abstract KEGG (https://www. kegg. jp) is a manually curated database resource integrating
various biological objects categorized into systems, genomic, chemical and health?…

Real-time object detection is one of the most important research topics in computer vision.
As new approaches regarding architecture optimization and training optimization are?…

We present ControlNet, a neural network architecture to add spatial conditioning controls to
large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large?…