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An improved flagship model, Flux 1.1 Pro was released on 2 October 2024. [ 27 ] [ 28 ] Two additional modes were added on 6 November, Ultra which can generate image at four times higher resolution and up to 4 megapixel without affecting generation speed and Raw which can generate hyper-realistic image in the style of candid photography .
Hugging Face, Inc. is an American company that develops computation tools for building applications using machine learning. It is incorporated under the Delaware General Corporation Law [1] and based in New York City. It is known for its transformers library built for natural language processing applications.
In this edition…a Hugging Face cofounder on the importance of open source…a Nobel Prize for Geoff Hinton and John Hopfield…a movie model from Meta…a Trump ‘Manhattan Project’ for AI?
Model weights for the first version of Llama were only available to researchers on a case-by-case basis, under a non-commercial license. [8] [3] Unauthorized copies of the first model were shared via BitTorrent. [9] Subsequent versions of Llama were made accessible outside academia and released under licenses that permitted some commercial use ...
The GGUF (GGML Universal File) [30] file format is a binary format that stores both tensors and metadata in a single file, and is designed for fast saving, and loading of model data. [31] It was introduced in August 2023 by the llama.cpp project to better maintain backwards compatibility as support was added for other model architectures.
Reinforcement learning is a popular technique used to make an AI model perform better on a certain task—you give the model a problem of some kind, then give it a positive or negative signal ...
BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) [1] [2] is a 176-billion-parameter transformer-based autoregressive large language model (LLM). The model, as well as the code base and the data used to train it, are distributed under free licences. [ 3 ]
A dedicated model specifically fine-tuned for inpainting use-cases was created by Stability AI alongside the release of Stable Diffusion 2.0. [35] Conversely, outpainting extends an image beyond its original dimensions, filling the previously empty space with content generated based on the provided prompt. [50]