User talk:Betterthanallofyou

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inferno class

I was looking at my Inferno 5e class and you have made some changes if it's about the dragons I haven't finished making them yet things like this TAJE time I also want to know why you deleted the dragons. --Alucarddragonborn (talk) 09:33, 22 August 2018 (MDT)

The dragons were likely deleted because it made the class too strong. Balancing animal companions is hard - give too much freedom, and you end up with the 3.5e druid, considered one of if not the strongest class because the animal companion is basically a fighter PC. Restrict the animal companion too much, and you end up with the 5e beastmaster ranger, considered one of the weakest class options because of how useless the animal is. — Geodude (talk | contribs | email)‎‎ . . 10:29, 22 August 2018 (MDT)

So any idea on how I can make the dragon helpful but not totally broken.--Alucarddragonborn (talk) 09:04, 23 August 2018 (MDT}

Warning

For the edits made, here, here, here and here, I am warning you for rudness, belittling and editing without civility and etiquette as per the warning policy. Endeavour to treat your fellow editors with respect and repeated offenses may lead to your account being suspended. —ConcealedLight (talk) 14:24, 13 January 2019 (MST)

Noted

gollark: Instead of recomputing the embeddings every time a new sentence comes in.
gollark: The embeddings for your example sentences are the same each time you run the model, so you can just store them somewhere and run the cosine similarity thing on all of them in bulk.
gollark: Well, it doesn't look like you ever actually move the `roberta-large-mnli` model to your GPU, but I think the Sentence Transformers one is slow because you're using it wrong.
gollark: For the sentence_transformers one, are you precomputing the embeddings for the example sentences *then* just cosine-similaritying them against the new sentence? Because if not that's probably a very large bottleneck.
gollark: sentence_transformers says you should be able to do several thousand sentences a second on a V100, which I'm pretty sure is worse than your GPU. Are you actually running it on the GPU?
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