In this article, we describe how you can perform end-to-end fact-checking in over 100 languages using Factiverse AI models. We also show through an experimental benchmark that fine-tuned models tailored for fact-checking tasks outperform Large Language Models such as GPT-4, GPT-3.5-Turbo, and Mistral-7b.

翻译：本文阐述了如何利用Factiverse AI模型在超过100种语言中实现端到端事实核查。我们通过实验基准测试证明，专门为事实核查任务微调的模型在性能上优于GPT-4、GPT-3.5-Turbo和Mistral-7b等大型语言模型。