Enhancing Central Banking with AI: 

A Practical LLM Workshop for ECB Economists   



Visualized by ChatGPT from the dataset in Excel

Unlock Your Potential with LLM

Last year,  I gave a number of peer to peer workshops at the NBS which showed that AI has the potential to deliver large productivity gains. Participants did a series of exercises before without LLM and after the course with LLM. Graded by interns, this histogram shows the dramatic enhancement in task performance, suggesting that the training can significantly boost your efficiency and effectiveness in central banking tasks. 

This interactive workshop begins with a quick, big-picture introduction to the basics of large language models (LLMs). and then dives into the exciting practical applications of LLM in central banking. Participants will harrness the power of GPT-4 to explore advanced data analysis, solve macro problem sets, and efficiently replicate research papers. The course also covers brainstorming, academic writing, and creating custom GPTs, ensuring  a mix of productivity and creativity. Above all, this workshop aims to be both informative and fun!   

I extensive use ChatGPT and other large language models (LLMs) for both theoretical macroeconomics research and policy-oriented tasks. Since I have been at the forefront of AI integration in economic analysis at the National Bank of Slovakia, I actively participated in the heated discussions regarding LLM implementation. Currently, I am conducting a series of studies focused on evaluating the impact of LLMs on organizational workflows, identifying optimal implementation strategies, and quantifying their productivity gains for economists. 

Requirements


Two theories and their implication for work 

Advanced Data Analysis