Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
Microsoft

Case study: Securing AI application supply chains

This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
IEEE

Adaptable and Reliable Text Classification using Large Language Models

Abstract: Text classification is fundamental in Natural Language Processing (NLP), and the advent of Large Language Models (LLMs) has revolutionized the field. This paper introduces an adaptable and ...