The angle that being to detect confidently wrong, which then helps kicks off new learning is interesting.
Has anyone had any success with continuous learning type AI products? Seems like there’s a lot of hype around RL to specialise.
5 karma · joined April 17, 2018
Has anyone had any success with continuous learning type AI products? Seems like there’s a lot of hype around RL to specialise.
If someone’s tried both, would love a quick comparison :)
Hm...how do you propose kubernetes / kubernetes users solve these kinds of problems? It could be a fairly common error that’s hard to catch on a system of large number of nodes where you’re not supposed to actively think about the fact that you have nodes. What’s the right tooling / monitoring to have on a system of 20nodes where one node is basically screwed?
These kinds of things make me think the entire K8s/container abstraction is just broken.