GLTR is a special tool made by the MIT-IBM Watson AI lab and HarvardNLP that can automatically detect text that was generated by a computer. It focuses on analyzing the output of a specific language model called GPT-2 117M from OpenAI. It has some useful features like forensic text analysis, which helps identify computer-generated text, and visual indication, which highlights words that are likely to be generated by the language model. It also uses histograms to gather evidence and analyze probability distributions to detect fake text like reviews, comments, or news articles. GLTR is helpful in various situations, such as identifying fake reviews, analyzing comments, and verifying news articles to prevent spreading misinformation. It serves as a powerful tool for detecting computer-generated content by using forensic analysis techniques. AI summarizer tools have some great advantages like saving time, improving understanding, and efficiently extracting information. They can be used in different ways, for example, generating short summaries of long articles or documents for easier consumption, transcribing and summarizing meeting discussions for clear takeaways, and helping researchers quickly grasp large amounts of literature for faster progress in their studies.
