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Similarly to RLHF, reinforcement learning from AI feedback (RLAIF) relies on training a preference model, except that the feedback is automatically generated. [43] This is notably used in Anthropic's constitutional AI, where the AI feedback is based on the conformance to the principles of a constitution. [44]
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
AI developers have argued that such training is protected under fair use, while copyright holders have argued that it infringes their rights. [110] Proponents of fair use training have argued that it is a transformative use and does not involve making copies of copyrighted works available to the public. [110]
Reddit COO Jen Wong said the company's content is "foundational" to training AI models. Google and OpenAI have deals with Reddit to use its content to train their large language models. Reddit has ...
The chips, which are vital for training and powering AI systems, have been in short supply over the last two years as demand for them spiked. Big Tech companies have been fighting to stockpile ...
Toloka, based in Amsterdam, is a crowdsourcing and generative AI services provider. [1] The company helps development of artificial intelligence from training to evaluation and provides generative artificial intelligence and large language model-related services. [3] [4]