Simon Tournier <zimon.touto...@gmail.com> writes: > Since it is computing, we could ask about the bootstrap of such > generated data. I think it is a slippery slope because it is totally > not affordable to re-train for many cases: (1) we would not have the > hardware resources from a practical point of view,, (2) it is almost > impossible to tackle the source of indeterminism (the optimization is > too entailed with randomness). From my point of view, pre-trained > weights should be considered as the output of a (numerical) experiment, > similarly as we include other experimental data (from genome to > astronomy dataset). > > 1: https://salsa.debian.org/deeplearning-team/ml-policy > 2: https://people.debian.org/~lumin/debian-dl.html >
Hello, zamfofex submited a package 'lc0', Leela Chess Zero” (a chess engine) with ML model, also it turn out that we already had 'stockfish' a similiar one with pre-trained model packaged. Does we reached a conclusion (so lc0 can also be accepted)? Or should we remove 'stockfish'? Thanks!
