Case Study: Fully Automated Document Creation Based on Resumes
Features:
Local LLM
Virtual Assistants
Document Creation
This case study explores how standardized documents can be effectively created and optimized on a changing data basis. A Large Language Model (LLM) is used in combination with various virtual assistants to continuously improve the content. The goal is to enhance the quality and consistency of the documents while reducing manual effort. By utilizing these technologies, companies can flexibly respond to changing data and still deliver high-quality, accurate documents.
Result
Here you can test the results of our study yourself. Due to multiple requests, we have made this tool available for free at www.resumyy.ai. If you do not have a resume, you can use this one to try it out.
Technical Setup
This case study explores the challenge of using a smaller Large Language Model (LLM) connected to a database containing all public subsidy programs in Germany. The goal was to demonstrate that such a system can not only work with subsidy programs but also seamlessly integrate with proprietary company data and be utilized in daily business operations.
Applications
This project demonstrates how documents can be easily created using multiple cooperating virtual assistants. By combining offline hosting with a proprietary database, documents can be customized even further. The automatic creation of presentations is also easily achievable, enhancing efficiency and personalization.
In larger companies, further logical applications arise. For example, sales and marketing materials can be automatically created and updated. Human resources departments can manage resumes, application documents, and training documents more efficiently. In the area of project planning and documentation, virtual assistants can help produce consistent and detailed reports. Additionally, automating compliance documents and legal materials can significantly reduce effort and increase accuracy. The applications are diverse and offer great potential for optimizing business processes.