
Slides for RISE Crash Course: "AI Benchmarking" In this two-hour introductory course, you will learn fundamental benchmarking methods to select the appropriate large language model for your specific research question. The course covers key aspects such as evaluating the costs, performance, and quality of different models. The aim is to equip you with the necessary tools to critically compare various models and make informed decisions for your research.
LLM, GPT, benchmarking, SSH
LLM, GPT, benchmarking, SSH
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
