Just lately, I had the superior alternative to present a workshop on the Open Data Science Conference in London, and I mentioned what I take into account to be a doubtlessly attention-grabbing function for LLMs in augmenting educational and non-academic researchers by automating sure teams of duties.
On this article I need to dive into the core ideas mentioned throughout that workshop, and talk about what I take into account a captivating rising function for AI via integration with researchers in numerous fields.
The workshop I offered explored the query:
how can we leverage LLMs to boost or increase analysis workflows with out diminishing the cognitive engagement of researchers?
Concerning this matter of augmentation is all the time difficult and might result in some cringy conversations about how AI will substitute people within the close to future. Due to this fact, for the aim of readability I need to begin by defining it a bit extra concretely:
Augmentation = Enhancing Functionality By Instruments
The idea of augmentation is deeply rooted within the work of Douglas Engelbart, who considerably pioneered a model of this concept that expertise ought to improve human…