Zhao et al. (arXiv v1, 2023) define large language models as Transformer-based language models with hundreds of billions or more parameters trained on massive text data.
One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.
What it connects
A Survey of Large Language Models → discusses →
Where it appears
No collection page holds this claim. It is listed with its records in the explorer.