Applying Large Language Models to Tabular Data to Identify Drift | by Aparna Dhinakaran | Apr, 2023
Image created by author using Dall-E 2Can LLMs reduce the effort involved in anomaly detection, sidestepping the need for parameterization or dedicated model training?Follow along with this blog’s accompanying colab.This blog is a collaboration with Jason Lopatecki, CEO and Co-Founder of Arize AI, and Christopher Brown, CEO and Founder of Decision PatternsRecent advances in large language models (LLM) are proving to be a disruptive force in many fields (see: Sparks of Artificial General Intelligence: Early Experiments…