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Pepemedia 🇺🇦🏳️‍🌈
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Fuck consumerism
Python is a vile thing and should be destroyed by all means
"With GPT-3 costing around $4.6 million in compute, than would put a price of $8.6 billion for the compute to train "GPT-4".
If making bigger models was so easy with parameter partitioning from a memory point of view then this seems like the hardest challenge, but you do need to solve the memory issue to actually get it to load at all.
However, if you're lucky you can get 3-6x compute increase from Nvidia A100s over V100s, https://developer.nvidia.com/blog/nvidia-ampere-architecture-in-depth/
But even a 6x compute gain would still put the cost at $1.4 billion.
Nvidia only reported $1.15 billion in revenue from "Data Center" in 2020 Q1, so just to train "GPT-4" you would pretty much need the entire world's supply of graphic cards for 1 quarter (3 months), at least on that order of magnitude."

Looks like where will be no significantly larger model in GPT4 for us :C
source - https://www.reddit.com/r/MachineLearning/comments/i49jf8/d_biggest_roadblock_in_making_gpt4_a_20_trillion/
Forwarded from 𝖘𝖍𝖎𝖙𝖕𝖔𝖘𝖙
github finally stopped looking like a thermonuclear explosion at night
Forwarded from Виникаючий порядок ✙ #УкрТґ
GET ON THE HYPE TRAIN