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A part of my question that you didn't go into was, can new knowledge be added in a new version without making the answers with knowledge learned in previous ver
by lo0dot0 1y ago
A part of my question that you didn't go into was, can new knowledge be added in a new version without making the answers with knowledge learned in previous versions non-deterministic?
- dijksterhuis 1y agothat’s not really how training works. changing the input (data) means you get a different output (model). source data has nothing to do with model determinism. as an end-user of AI products, your perspective might be that the models are non-deterministic, but really it’s just different models returning different results … because they are different models. “end-user non-determinism” is only really solved by repeatedly using the same version of a trained model (like a normal software dependency), potentially needing a bunch of work to upgrade the (model) dependency version later on.