If a X account is replying at a rate of one per minute for hours why can’t an algorithm filter this Maybe classic ML competency has died
@HamelHusain I would love to introduce that team to my close personal friend the kohonen map
Users highlighted gaps in classic ML filtering on X, expressing shock at reemerging basic errors in standard tasks and noting LLMs fail to improve recommender systems.
Based on 5 visible X reactions from 17 accounts; directional sample.
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@HamelHusain @Chainbuilderpro lol it’s so bad. This account is like the perfect example of who to ban. Just train on it specifically and the algo probably improves. To your point though, simple math stuff should go a long way
@HamelHusain Strangely ML recommender systems could use a massive improvement - LLMs and related developments are not helping those products at the moment.
@HamelHusain Not on this particular issue, but I’m genuinely shocked at the reemergence of very basic errors in standard ML tasks
@Chainbuilderpro You are the best example of this
@0x1F9ED Always was friend
If a X account is replying at a rate of one per minute for hours why can’t an algorithm filter this Maybe classic ML competency has died
@HamelHusain I would love to introduce that team to my close personal friend the kohonen map
Users highlighted gaps in classic ML filtering on X, expressing shock at reemerging basic errors in standard tasks and noting LLMs fail to improve recommender systems.
Based on 5 visible X reactions from 17 accounts; directional sample.
Ask a question below.
Published answers will appear here.
