How Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod | Artificial Intelligence
Hong Kong-based fintech Apoidea Group, creator of the SuperAcc document-processing platform, worked with AWS to fine-tune the Qwen2-VL-7B-Instruct vision-language model with LLaMA-Factory on Amazon SageMaker HyperPod. The fine-tuned model raised TEDS table-structure-recognition accuracy from 23.4 to 81.1, beating Anthropic Claude 3 Haiku on the FinTabNet benchmark and enabling SuperAcc to cut financial-spreading review from 4–6 hours to roughly 30 minutes for its 10+ FSI clients.