Receipt processing is one of those problems that looks simple on the surface but becomes increasingly […]
Extracting structured data from real-world enterprise receipts sounds simple at first, but it quickly turns into […]
Even after applying model optimization and output cleaning, one critical issue remained in the ReceiptFlow pipeline: […]
Even after selecting the right model and optimizing input format, inconsistencies in LLM outputs continued to […]
After selecting an appropriate model for structured extraction, inconsistencies in output still persisted within the ReceiptFlow […]
After identifying that tool calling was unreliable in a local LLM setup, the next critical step […]
When building ReceiptFlow, the goal was simple: take messy OCR output from receipts and convert it […]
This article is a brief look at Germany's AI catchup strategy and how much progress it has made.
The rise of AI and new advancements in Machine Learning in image recognition, neural network, speech recognition, object detection has accelerated the growth of Artificial Intelligence
Big Data and AI projects have a failure rate higher than 80%. We look at 3 reasons for these project failures.