Improve accuracy of OCR with generative AI

Optical character recognition (OCR) has been a valuable technology for digitizing text from images, documents, and other sources. However, traditional OCR systems have limitations in terms of accuracy, especially when dealing with low-quality images, handwritten text, or complex layouts. The advent of deep learning and large language models has opened up new possibilities for improving OCR capabilities. In this session, we demonstrate how Anthropic Claude-3 family of models with Amazon Bedrock enhances and potentially replace traditional OCR systems. Find out how Claude-3 models are trained on vast amounts of text data, understand and generate human-like text with accuracy and coherence.

Speakers: 
Derrick Choo, Senior Solutions Architect, AWS
Sun Baichuan, Senior AI/ML Specialist Solutions Architect, AWS