即“模型崩溃”（Model Collapse）。相关研究论文以“AI models collapse when trained on recursively generated data”为题，已发表在权威科学期刊 Nature 上。但他们也表示，用一个旧模型生成的数据去训练一个新模型，并非不可行，但必须对数据进行严格的过滤。在一篇同期发表的新闻与观点文章中，来自杜克大学的 Emily...
Here we explore what happens with language models when they are sequentially fine-tuned with data generated by other models. We can easily replicate all experiments covered in this paper with larger language models in non-fine-tuning settings to demonstrate model collapse. Given that training a sin...
《AI models collapse when trained on recursively generated data》 论文链接: https://www.nature.com/articles/s41586-024-07566-y “模型崩溃”是什么? “模型崩溃”(Model Collapse)是指在训练递归生成的数据时,AI模型经历的一个退...
AI models collapse when trained on recursively generated data 领域模型SFT(domain_llms) 金融 BloombergGPT: A Large Language Model for Finance FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis CFGPT: Chinese Financial Assistant with Large Language Model CFBenchmark: Chinese Fi...
1、[LG] Model Collapse Demystified: The Case of Regression E Dohmatob, Y Feng, J Kempe [Meta FAIR & New York University] 模型坍缩解密: 回归案例研究 要点: 模型坍缩指的是当递归地在前几代模型生成的数据上训练大规模语言模型等AI模型时,这些模型的性能会降低的现象。随着越来越多AI生成的数据进入训...
How does model collapse occur? Model collapse happens when new AI models are trained on generated orsynthetic datafrom older models. The new models become too dependent on patterns in the generated data. Model collapse is based on the principle that generative models are replicating patterns th...
(it tends to collapse when dealing with high-resolution images). Note that in this study, 1728 × 1408 is considered a noticeable high resolution for GAN modeling, as in the literature most resolutions of GAN modeling ranged from 28 × 28 to 1024 × 102420,21,22. We ...
AI needs a lot of human feedback. For example, LLMs train using a process calledreinforcement learning from human feedbackwhere people fine tune models by repeatedly ranking outputs from best to worst. A May 2023paperalso describes the phenomenon ofmodel collapse, which states that LLMs malfunct...
so the model gets better on its own without researchers needing to tell it whether its outputs are good or bad. GANs also manage to learn very quickly; compared to other existing solutions when they were first released, they could get good results with much less training data—hundreds of im...
Model collapse: AI researchers have identified a phenomenon called model collapse that could render generative AI models less useful over time. Essentially, as AI-generated content proliferates, models that are trained on that synthetic data—which inevitably contains errors—will eventually “forget” ...