There's one question that persists: will conventional ML still remain relevant, given the advancement of large models, which can very much analyse the tabular data and make models out of it? There can be multiple arguments here that large models may outperform, or it might be just not good enough. But the major issue would be actual deployment in real world system where they need to work with tabular data and generate the outcomes as fast as possible. if it can do then traditional ml can be bypassed easily imo

→ View original post on X — @avikumart_, 2026-03-04 04:33 UTC