Thesis

Large Language Models and the Need for New Skills of Knowledge Workers

Large Language Models (LLMs) are advanced artificial intelligence systems that can learn to generate human-like language and perform a wide range of natural language processing tasks. These models have become increasingly important in many industries, including finance, healthcare, and technology, due to their ability to process large amounts of unstructured data and generate insights that were previously unavailable.

However, the development and deployment of LLMs require knowledge workers to have new skills that go beyond traditional technical and analytical skills. These skills include expertise in machine learning, natural language processing, and data engineering. Additionally, knowledge workers must develop skills in collaborating with LLMs, interpreting their output, and making decisions based on their insights.

The thesis will employ a qualitative research design, using interviews with knowledge workers who have experience working with LLMs. The thesis will also review case studies of organizations that have implemented LLMs and explore their impact on knowledge worker skills.

The thesis includes the following tasks:
• Literature research
• Development of research design
• Data collection
• Data analysis and presentation of results
• Discussion of results and derivation of future research questions

The above-described work is a first draft. We are happy to incorporate your own ideas into the final design of the thesis.
If you are interested in the topic, please send a short cover letter, CV, and transcript of records to bouschery@time.rwth-aachen.de.

Keywords: Artificial Intelligence, Künstliche Intelligenz, Creativity, ChatGPT, GPT-4, Ideation, AI, KI