← Back to context Comment by danielmarkbruce 10 hours ago RLVR and RLCR really don't need a whole bunch of special data. 4 comments danielmarkbruce Reply verdverm 8 hours ago the algorithms technically, sure, however the outcomes definitely depend on data quality and coverage like any other training method, this is well known danielmarkbruce 8 hours ago I don't think you've ever done either of these training steps. You are just handwaving. verdverm 8 hours ago you know what they say about making assumptions, yea?and then you are going to ignore all the research and results that clearly show otherwise? why?what might we infer about the importance of data from a learning algorithm like decision trees? 1 reply →
verdverm 8 hours ago the algorithms technically, sure, however the outcomes definitely depend on data quality and coverage like any other training method, this is well known danielmarkbruce 8 hours ago I don't think you've ever done either of these training steps. You are just handwaving. verdverm 8 hours ago you know what they say about making assumptions, yea?and then you are going to ignore all the research and results that clearly show otherwise? why?what might we infer about the importance of data from a learning algorithm like decision trees? 1 reply →
danielmarkbruce 8 hours ago I don't think you've ever done either of these training steps. You are just handwaving. verdverm 8 hours ago you know what they say about making assumptions, yea?and then you are going to ignore all the research and results that clearly show otherwise? why?what might we infer about the importance of data from a learning algorithm like decision trees? 1 reply →
verdverm 8 hours ago you know what they say about making assumptions, yea?and then you are going to ignore all the research and results that clearly show otherwise? why?what might we infer about the importance of data from a learning algorithm like decision trees? 1 reply →
the algorithms technically, sure, however the outcomes definitely depend on data quality and coverage like any other training method, this is well known
I don't think you've ever done either of these training steps. You are just handwaving.
you know what they say about making assumptions, yea?
and then you are going to ignore all the research and results that clearly show otherwise? why?
what might we infer about the importance of data from a learning algorithm like decision trees?
1 reply →