Extracting Prompts From LLM Outputs With Output2Prompt Method
Researchers develop "output2prompt" method to recover original prompts from language model outputs without access to internal workings, improving memory efficiency with sparse encoding technique.
This is a Plain English Papers summary of a research paper called Extracting Prompts by Inverting LLM Outputs. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview The research paper explores the problem of "language model inversion" - extracting the original prompt that generated the output of a language model. The authors develop a new method called "output2prompt" that can recover prompts from language model outputs, without access to the model's internal workings. This method only requires the language model's...