Over Two Decades of Handwriting, One Local Language Model, and an OCR Problem

1. 1Build a personal AI model using a physical diary archive as training data
2. 2Configure an OCR system to digitize handwritten text from the diary archive
3. 3Test the OCR system's accuracy and adjust parameters as needed
4. 4Apply the trained AI model to recognize and generate text based on the digitized handwriting
5. 5Compare the performance of different OCR systems and AI models to optimize results

NLP engineers and researchers can benefit from this article to improve their skills in building personal AI models and addressing OCR challenges

💡 The hardest part of building a personal AI pipeline isn't the model, but rather the OCR problem of digitizing handwritten text

Build a personal AI from your handwritten diary archive! Overcome OCR challenges and unlock new possibilities in NLP #NLP #AI #OCR