Using an LLM chat template in reverse to play the user

If you simulate users for evals or synthetic data, this shows that reversing the chat template beats prompting a model to act human. It also ranks which model families pass best.

• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.

• articleWhen Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey ResponsesZihan Chen, Di Zhu, Lei Nico Zheng
• articleMinimal Chateugeneyan.com
• repoWe tested how 5 LLMs handle failed write actions (duplicate prevention)0xguenther

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