From TF-IDF to Transformers: Implementing Four Generations of Semantic Search
中文摘要
文章通过Python逐步构建四代系统，探讨语义搜索如何从TF-IDF关键词匹配演变为现代基于Transformer的语言理解。
English Summary
This article builds four generations of semantic search systems with Python, exploring its evolution from TF-IDF keyword matching to modern transformer-based language understanding.
原文节选
How did semantic search evolve from simple keyword matching into modern transformer-based language understanding? This hands-on article builds four generations of semantic search systems step by step using Python. The post From TF-IDF to Transformers: Implementing Four Generations of Semantic Search appeared first on Towards Data Science.