GLTR (Giant Language Model Test Room) is a tool designed to detect text generated by large language models, such as GPT-2. It assists users in identifying machine-generated content by analyzing the predictability of each word within a given text. By highlighting words based on their likelihood of being generated by a language model, GLTR provides insights into the authenticity of the text. Key Features and Functionality: - Word Probability Visualization: GLTR color-codes words to indicate their probability of being generated by a language model, making it easier to spot patterns typical of machine-generated text. - Interactive Analysis: Users can input any text and receive an immediate analysis, facilitating quick assessments of content authenticity. - Support for Large Texts: The tool is capable of processing extensive documents, allowing for comprehensive evaluations of longer texts. Primary Value and Problem Solved: GLTR addresses the growing concern of distinguishing between human-written and machine-generated text. As language models become more sophisticated, it becomes increasingly challenging to identify AI-generated content. GLTR empowers users—ranging from educators to content moderators—to detect and mitigate the spread of machine-generated misinformation, ensuring the integrity of written communication.