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 […]
Discover how NLWeb, Microsoft’s open-source protocol from Build 2025, transforms websites into AI-powered knowledge hubs. This comprehensive guide covers setup, data optimization with the A-U-S-S-I framework, Azure deployment, and chatbot integration. Explore use cases for news agencies and blockchain AI agents, code generation for logistics and licensing, and NLWeb’s future in internationalization and voice search. Learn its strengths, challenges, and potential to redefine web interactions.
What is the k-nearest neighbours (kNN) algorithm and how is it applied to Machine Learning?
Defining public transport delays is not as straightforward as we think. This article dives deep into this complex topic.