Earlier quoted context omitted.
I’m guessing one is data. The limit would be once you’ve trained a LLM on all public (or even private) data. Sure you can still make some improvements or try to find some additional private data but still, a fundamental limit has been reached.
Is it even feasible any time soon to train an LLM on all of YouTube?
156 million hours of YouTube videos
9,000 words/hour
6 characters/word (including space)
First, let's find out the total number of characters:
9,000 words/hour \* 6 characters/word = 54,000 characters/hour
Now, let's calculate the total number of characters for 156 million hours of YouTube videos:
54,000 characters/hour \* 156,000,000 hours = 8,424,000,000,000 characters
Since 1 character is typically 1 byte, we can convert this to gigabytes:
8,424,000,000,000 bytes / (1024 \* 1024 \* 1024) ≈ 7,842.11 GB
So, 8TB of text? Seems doable.