Do believe that a human learning from a book is fundamentally different than training a model off of it, and thus should be regulated differently?
I'm curious if you feel strongly about the 'open internet' as well, i.e. that platforms and content should be publicly available by default (as opposed to e.g. Elon's recent move to restrict the viewability of tweets by…
We've had good success with Vespa [1] for this usecase, both using it to rank by vector similarity and apply business logic oriented filters. Search latencies are fairly low, even with constantly updating documents. [1]…
Hey I meant to track one of y'all down at the MLOps conference, but didn't get the chance. I've built a very shitty version of a cached-execution DAG thing internally, and one of the design decisions I made was to have…
When I was last here it was mostly post-for-post consistent with /r/MachineLearning.
Hopefully those updates are signed, in which case as long as there aren't user install-able applications it should be fine.
So having actually seen what Code.org's small hour of code assignment was (my sister in 6th grade had to do it), I can say that it's not as evil as you're making it out to be. For one, they're not taught a specific…
I think the point of the article is that whether or not someone is an A-player is context dependent. Alice might not be an A-player at TechCo (for some reason e.g. the way they dole out projects) but is an excellent fit…
>stop and think about possible sources of contamination One great one from my Machine Learning professor was an assignment where we were required to normalize our data to [0,1]. After doing this and then going through…
Do believe that a human learning from a book is fundamentally different than training a model off of it, and thus should be regulated differently?
I'm curious if you feel strongly about the 'open internet' as well, i.e. that platforms and content should be publicly available by default (as opposed to e.g. Elon's recent move to restrict the viewability of tweets by…
We've had good success with Vespa [1] for this usecase, both using it to rank by vector similarity and apply business logic oriented filters. Search latencies are fairly low, even with constantly updating documents. [1]…
Hey I meant to track one of y'all down at the MLOps conference, but didn't get the chance. I've built a very shitty version of a cached-execution DAG thing internally, and one of the design decisions I made was to have…
When I was last here it was mostly post-for-post consistent with /r/MachineLearning.
Hopefully those updates are signed, in which case as long as there aren't user install-able applications it should be fine.
So having actually seen what Code.org's small hour of code assignment was (my sister in 6th grade had to do it), I can say that it's not as evil as you're making it out to be. For one, they're not taught a specific…
I think the point of the article is that whether or not someone is an A-player is context dependent. Alice might not be an A-player at TechCo (for some reason e.g. the way they dole out projects) but is an excellent fit…
>stop and think about possible sources of contamination One great one from my Machine Learning professor was an assignment where we were required to normalize our data to [0,1]. After doing this and then going through…