# Understanding detectors It's not easy to determine when an LLM has gone wrong. Even though this can sometimes be evident to humans, garak's probes often generate tens of thousands of outputs, and so needs automatic detection for language model failures. The detectors in garak serve this purpose. Some look for keywords, others use machine learning classifiers to judge outputs. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.garak.ai/garak/garak-components/understanding-detectors.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.