AIRelu project

The goal of this project is to build a tool that integrates language models within any files that contains text so that people can interact with it and ask questions about the document allowing users to access relevant information and customized answers without needing to leave the document. The tool will be designed specifically for students and researchers who need to study and analyze large amounts of information in files. The tool will work by parsing the contents of a file and using a language model to generate answers to user queries based on the information contained within the document. Users will be able to interact with the tool through a user-friendly interface, which will allow them to input their queries and receive relevant answers in real-time. The tool was developed using state-of-the-art language models such as Cohere and GPT-3, which was trained on a corpus of relevant data such as textbooks, academic articles, or scientific papers. The tool will also incorporate advanced natural language processing techniques to improve the accuracy and relevance of the generated answers. The benefits of this tool are that it will help students and researchers to save time and improve their productivity by providing them with quick and accurate answers to their queries within the file itself. This will eliminate the need to switch between multiple applications or websites, thereby reducing distractions and improving focus.