Constructing Social Network using Foundational Language Models
Sneak peek what I learned back at JPMorgan about leveraging Name and Entity Recognition (NER) models to construct a social network graph based on "bond strengths." We use cosine similarities to calculate bond strengths between embedded entities including companies and individuals like Elon Musk, Apple, First Republic Bank, etc.
LLMPython