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 → research tools treat fabricated statistics on a throwaway site as citable evidence, and the numbers propagate into papers and reports. If your agents retrieve facts from the web, source verification is a real gap.
Terms in this piece · Glossary
generative engine optimization — Making a site the source an AI assistant cites when answering, rather than a link in a list of ten blue results.
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.
grounding — Tying a model's answers to checkable sources — retrieved documents, live data, tool results — instead of letting it answer from memory alone.
articleGround truth is a process, not a datasetwww.amazon.science
articleAgentic Data Engineering for LLMs: System Design and a Controlled Empirical StudyRuomeng Ding, Qianli Shen, Zhaoyang Han, Meixin Chen, Daoyuan Chen, Yaliang Li
videoYour LLM Judge Is a Confident Liar: Building Better Verifiers — BrowserbaseAI Engineer