I propose that we adopt the term "Large Self-Supervised Models (LSSMs)" as a replacement for "Foundation Models" and "LLMs". "LLMs" don't capture non-linguistic data and "Foundation Models" is too grandiose. Thoughts? @percyliang
@tdietterich The beauty of language is that you can have multiple terms that highlight different aspects of the same object. You don't have to choose. I use "LLM" to talk about LLMs, "self-supervised" for their construction, and "foundation model" for their function. No term can be replaced.
@percyliang Yes, but as you know, "Foundation" is too close to "Foundational", and many of us find that troubling. That is why I'm proposing a more neutral term. For use, maybe we could just call them "Upstream models".
@giffmana @francoisfleuret @tdietterich @percyliang 💯 Aren't AlexNet/ResNet FM? Their function wasn't limit to image classification. Also used in object detection,...,robotics? @percyliang and Co might establish a rigours comparison in their paper. Read it & let us know 😅. Feedback about the document can be shared in @BlindDou