the two first are about data, and as far as I know compilers do not use machine learning on data.
third one could technically apply to compilers, though I think in ML there is a feedback loop “impressive performance → investments in scaling → more research”, but you cannot just throw more compute to increase compiler performance (and results are less in the mainstream, less of a public PR thing)
the two first are about data, and as far as I know compilers do not use machine learning on data.
third one could technically apply to compilers, though I think in ML there is a feedback loop “impressive performance → investments in scaling → more research”, but you cannot just throw more compute to increase compiler performance (and results are less in the mainstream, less of a public PR thing)