Transformers have become the backbone of modern AI. They power the large language models we interact with daily and are even used in scientific problems like protein structure prediction.But there’s a subtle issue with them. Unlike older models such as…
Entity resolution — finding records that refer to the same real-world entity — is one of the oldest problems in data management. And for structured data (names, addresses, phone numbers), we’ve largely solved it. Modern fuzzy matching algorithms routin…
When I first read about BERT (Bidirectional Encoder Representations from Transformers), the number one question that plagued my mind was a simple definition issue.We are told BERT is “Bidirectional.” But wait — BERT is based on the Transformer Encoder….