Building Knowledge Graphs: Traditional NER vs. LLMs
Knowledge graphs have become increasingly important for structuring information and enabling advanced querying and reasoning capabilities. But what's the best way to construct them? In this post, we'll compare traditional named entity recognition (NER) approaches with newer large language model (LLM) methods for knowledge graph construction.
Before we di…
Keep reading with a 7-day free trial
Subscribe to The MLnotes Newsletter to keep reading this post and get 7 days of free access to the full post archives.