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The Pile was originally developed to train EleutherAI's GPT-Neo models [8] [9] [10] but has become widely used to train other models, including Microsoft's Megatron-Turing Natural Language Generation, [11] [12] Meta AI's Open Pre-trained Transformers, [13] LLaMA, [14] and Galactica, [15] Stanford University's BioMedLM 2.7B, [16] the Beijing ...
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.
If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [185] Training an AI model exclusively on the output of another AI model produces a lower-quality model.
Nearly 200,000 books written by a wide range of authors, including Nora Roberts, are being used to train artificial intelligence systems, according to a recent report. No one asked for the writers ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]