The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: The 18th Workshop on Workflows in Support of Large-Scale Science (WORKS23) - Part 2 of 2
Authors: Alejandro Duque (Universidad San Francisco de Quito); Abdullah Syed (University of Missouri, Columbia); Kastan Day and Matthew Berry (University of Illinois); and Daniel S. Katz and Volodymyr Kindratenko (University of Illinois, National Center for Supercomputing Applications (NCSA))
Abstract: The recent development of large language models (LLMs) with multi-billion parameters, coupled with the creation of user-friendly application programming interfaces (APIs), has paved the way for automatically generating and executing code in response to straightforward human queries. This paper explores how these emerging capabilities can be harnessed to facilitate complex scientific workflows, eliminating the need for traditional coding methods. We present initial findings from our attempt to integrate Phyloflow with OpenAI's function-calling API, and outline a strategy for developing a comprehensive workflow management system based on these concepts.