Jev's RLCD training compared with bidirectional BERT classifiers
A short comment noting that Jev trains its decision system with RLCD, and comparing it with cheap, durable architectures like bidirectional BERT, mmBERT and Julia on CPU.
great to see that, people are getting back to core Machine Learning by working on systems like classifers. Decision making systems like Jev by @typesafeai is trained through a methodology called RLCD, but every without it there were architectures like using bidirectional BERT for the same task. I think Laya does smthg same im not sure coz havnt read it yet, but Julia -1 works on similar principles of mmBERT. mmBERT demonstrates that low-resource languages can be effectively learned during the decay phase of training and Julia works on CPU so yup.. good to see good durable and cheap systems again.
This post quotes another post: x.com/supersonicai/status/2103922653585162248