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.
Why it matters
Substituting LLMA large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.Full definition → predictions for user responses forfeits the randomization guarantee; identification then rests on unverifiable surrogacy assumptions that weaken as a treatment departs from past experiments. Useful before trusting any synthetic-user evalA 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.Full definition →.
articleWhen Synthetic Users Fail: A Cross-Domain Benchmark of LLM-Simulated Human Survey ResponsesZihan Chen, Di Zhu, Lei Nico Zheng
articleA/B test models in productionwww.together.ai
articleHow well LLM-based test generation techniques perform with newer LLM versions?Michael Konstantinou, Renzo Degiovanni, Mike Papadakis