Model collapse could be coming for LLMs

The high-level description of the feedback mechanism in the learning process. Credit: Nature (2024). DOI: 10.1038/s41586-024-07566-y Using AI-generated datasets to train future generations of machine learning models may pollute their output, a concept known as model collapse, according to a new paper published in Nature. The research shows that within a few generations, original content is replaced by unrelated nonsense, demonstrating the importance of using reliable data to train AI models. Generative AI tools such as large language models (LLMs) have grown in popularity and have been primarily trained using human-generated inputs. However, as these AI models continue to proliferate Read More