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Table of Contents
1 Introduction
2 Overview: LLM Services, Tasks and Metrics
3 Monitoring Reveals Substantial LLM Drifts
3.1 Math I (Prime vs Composite): Chain-of-Thought Can Fail
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Summary
This paper discusses the evaluation of the behavior of GPT-3.5 and GPT-4 over time, focusing on tasks such as math problems, opinion surveys, code generation, and more. The study reveals significant performance and behavior drifts, emphasizing the need for continuous monitoring of large language models like ChatGPT.