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The Curse of Recursion: Training on Generated Data Makes Models Forget
April 16, 2024, 4:44 a.m. | Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson
cs.LG updates on arXiv.org arxiv.org
Abstract: Stable Diffusion revolutionised image creation from descriptive text. GPT-2, GPT-3(.5) and GPT-4 demonstrated astonishing performance across a variety of language tasks. ChatGPT introduced such language models to the general public. It is now clear that large language models (LLMs) are here to stay, and will bring about drastic change in the whole ecosystem of online text and images. In this paper we consider what the future might hold. What will happen to GPT-{n} once LLMs …
abstract arxiv chatgpt clear cs.ai cs.cl cs.cr cs.cv cs.lg data diffusion general generated gpt gpt-2 gpt-3 gpt-4 image language language models large language large language models llms performance public recursion stable diffusion tasks text training type
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