As part of an innovative project, I am working on the development of a prototype for a chatbot capable of efficiently extracting and converting content from texts into understandable, structured information. The goal is to create a versatile application that can be used either as an independent service or in future projects.

Project Goal

The overarching goal of this project is the creation of a generative AI (genAI) that analyzes texts, asks relevant questions, and generates precise answers. The focus is not on any specific subject but on the flexibility of the application. It should be usable in various fields, from automated document and text analysis to creating learning materials or FAQs.

Key Technologies

A central component of the project is the use of RAG (Retrieval-Augmented Generation) technology, which enables the extraction of relevant information from large text volumes and utilizes it for generating responses. Additionally, the prototype will be optimized through fine-tuning models like Pegasus or GPT for specific use cases.

Use Cases

This chatbot could be used as a service to search through texts and provide specific information. It could be applied in various fields such as education, science, or law to help users quickly and efficiently access relevant content.

Development and Outlook

The project is in its early stages, and the next steps involve integrating additional data sources as well as fine-tuning the model for specific applications. The chatbot’s performance will be continuously improved.

IOXAI and the Project

The project is part of the IOXAI initiative, which focuses on developing innovative AI solutions. For more information and insights into the project, visit ioxai.eu.

Conclusion

This prototype will create a powerful solution for automated knowledge discovery that is not only versatile but also continuously developed to meet the needs of tomorrow.