Build an Ecosystem, Not a Monolith
Date & Time
Friday, January 12, 2024, 11:00 AM - 12:00 PM

Currently, the preeminent paradigm for building artificial intelligence is the development of large, general-purpose models that aim to be able to perform all tasks at (super)human level. In this talk, I will argue that an ecosystem of specialist models would likely be dramatically more efficient and could be significantly more effective. Such an ecosystem could be built collaboratively by a distributed community and be continually expanded and improved. In this talk, I will outline some of the technical challenges involved in creating model ecosystems, including automatically selecting which models to use for a particular task, merging models to combine their capabilities, and efficiently communicating changes to a model.

Join Meeting

* This event is open to the public with emphasis on graduate students in machine learning, computer science, ECE, statistics, mathematics, linguistics, medicine, as well as PhD-level data scientists in the GTA.