Can a Database Learn Similarity? Exploring the Large Database Model Idea with Retail Data
中文摘要
本文探讨了大数据库模型（LDM），研究利用数据库表中的上下文（如零售数据）来学习相似性的可能性。
English Summary
This article explores Large Database Models (LDMs), examining if databases can learn similarity by utilizing context within tables, using retail data as a case study.
原文节选
I came across a video introducing Large Database Models (LDMs) and a compelling idea: use the context already present in database tables… Continue reading on Medium »