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The Hugging Face Hub is a platform (centralized web service) for hosting: [18] Git-based code repositories, including discussions and pull requests for projects. models, also with Git-based version control; datasets, mainly in text, images, and audio;
SIDE HUG: The word HUG is found at the SIDEs of each theme answer: HUMAN BEING, HUNTING DOG, and HUMBLE BRAG. The word HUG is giving each theme answer a HUG today. This is a fun set of theme answers.
A technical issue that appears to have been overlooked here is that this 2022 dataset was generated (by Hugging Face) from the source wikitext dumps using the well-known "mwparserfromhell" Python package, whereas the authors obtained their August 2024 articles by scraping the text rendered by the Wikipedia API and applying some of their own ...
Setter – I, ME, ONE (meaning the setter of the crossword) Setter's – MY (meaning the setter of the crossword) Sex appeal – IT (after Clara Bow – the It girl) or SA; Shilling – S; Ship – SS (steam ship) Ship's officer – PO (petty officer) Shirt – T; Short wave – SW; Side – LEG, OFF, ON; Significant other – SO
In computer vision and computer graphics, the 3D Face Morphable Model (3DFMM) is a generative technique for modeling textured 3D faces. [1] The generation of new faces is based on a pre-existing database of example faces acquired through a 3D scanning procedure.
At the beginning of 2024, the most capable model scored only 2% on a benchmark consisting of real world software engineering problems; by October, a new model achieved 49%; by December, an ...
Mistral AI SAS is a French artificial intelligence (AI) startup, headquartered in Paris.It specializes in open-weight large language models (LLMs). [2] [3] Founded in April 2023 by engineers formerly employed by Google DeepMind [4] and Meta Platforms, the company has gained prominence as an alternative to proprietary AI systems.
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.