In large language model collapse, there are generally three sources of errors: The model itself, the way the model is trained and the data — or lack thereof — that the model is trained on. Andriy Onufriyenko/Getty Images
Andriy Onufriyenko/Getty Images
Asked ChatGPT anything lately? Talked with a customer service chatbot? Read the results of Google’s “AI Overviews” summary feature?
If you’ve used the Internet lately, chances are, you’ve been consuming content created by a large language model.
Large language models, like DeepSeek-R1 or OpenAI’s ChatGPT, are kind of
→ Continue reading at NPR - Technology