Recent comments in /f/MachineLearning

mrtransisteur t1_jasibpc wrote

Reply to [D] Is there an ML project out there that recommends movies based on more than the usual features? by of_a_varsity_athlete

I’ve been using ChatGPT for exactly this, vibe based movie recs. One trick is to encourage it to suggest older classics, lesser-known films, lower budget films, or foreign films. Just tell it when you’ve already seen the movie or if there’s some other misalignment between the suggestions and what you want to see

1

EricHallahan t1_jar9qm1 wrote

Reply to comment by Fuehnix in [N] EleutherAI has formed a non-profit by StellaAthena

Yes, come on in! We do not expect contributors to devote massive amounts of time or go out of their way to contribute—they all have lives of their own, and we respect that.

As for collaboration, we make it work. Most communication is asynchronous text, which is quite versatile and hides varied schedules well.

2

sea-shunned t1_jaqosa2 wrote

Reply to comment by PassionatePossum in [D] Are Genetic Algorithms Dead? by TobusFire

In my experience, if you are "stepping around more or less blindly" then the problem & EA have not been properly formulated. In general of course, if a gradient is available then gradient descent will do a better job >99% of the time.

Though with a bit of domain knowledge, and/or some careful design of the objective function(s), variation operators etc., an EA can be a pretty efficient explorer of the space. It's nichely-applicable, but when done properly it's far from blind.

1