no code implementations • 27 Feb 2024 • Marco Bellagente, Jonathan Tow, Dakota Mahan, Duy Phung, Maksym Zhuravinskyi, Reshinth Adithyan, James Baicoianu, Ben Brooks, Nathan Cooper, Ashish Datta, Meng Lee, Emad Mostaque, Michael Pieler, Nikhil Pinnaparju, Paulo Rocha, Harry Saini, Hannah Teufel, Niccolo Zanichelli, Carlos Riquelme
We introduce StableLM 2 1. 6B, the first in a new generation of our language model series.
no code implementations • 19 Oct 2023 • Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth Stanley, Grégory Schott, Joel Lehman
In many text-generation problems, users may prefer not only a single response, but a diverse range of high-quality outputs from which to choose.
1 code implementation • NeurIPS 2023 • Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach
The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users.
no code implementations • 6 Dec 2022 • Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andres Felipe Cruz-Salinas
We introduce M-VADER: a diffusion model (DM) for image generation where the output can be specified using arbitrary combinations of images and text.
no code implementations • 23 Sep 2022 • Patrick Schülein, Hannah Teufel, Ronja Vorpahl, Indira Emter, Yannick Bukschat, Marcus Pfister, Anke Siebert, Nils Rathmann, Steffen Diehl, Marcus Vetter
The availability of real data from areas with high privacy requirements, such as the medical intervention space, is low and the acquisition legally complex.