After two weeks of lectures, labs, feedback sessions and a grand finale of project presentations, the Winter School in GenAI for Academia has concluded. Over these two weeks, we got valuable insight into how AI is made, how it works, how it runs, what are its limits, how to work around them, and what are the ethical implications of using this technology. Using all of this information, we explored the strategies of how to best leverage the technology to benefit our academic research through hands-on exercises that were fully supported by Nebula.

Throughout these two weeks, we went through no less than 25 million tokens, through over 3000 different prompts to the open-source models in Nebula.

The highly diverse group of participants (of all research seniorities and backgrounds, from both public and private institutions, and from all corners of the world) fostered an environment for indepth and meaningful discussions into the current state of AI, what might come next, and how we can raise awareness about the things that we learnt during the School.

Lastly, we couldn’t have done this without our extremely talented presenters, so we take this opportunity to thank, in order of appearance, Jieying Chen, Alexia Muresan, Emanuele Mezzi, Radu Nicolae, Lorella Viola, Jiahuan Pei, Anna Bon and Hans Akkermans.