Stop Overpaying for LLMs: High-Speed Information Extraction with GLiNER2 and FlashDeBERTa

We’ve all been told that "bigger is better" in AI. We’ve seen the trillion-parameter models that can write poetry, simulate physics, and pass the bar exam. But when you’re in the trenches of a real enterprise—trying to extract millions of data points from messy PDFs or link entities across a global database—using a massive generative LLM is like trying to perform heart surgery with a sledgehammer. It’s expensive, it’s slow, and honestly, it’s overkill. Bert Model Family: DeBERTa for classification — disentangled attention gives it sharper token-level understanding than BERT. GliNER for entity…