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?…

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?…

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?…

Transformative artificially intelligent tools, such as ChatGPT, designed to generate
sophisticated text indistinguishable from that produced by a human, are applicable across a?…

Large language models represent a significant advancement in the field of AI. The
underlying technology is key to further innovations and, despite critical views and even bans?…

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

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

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?…