5 karma · joined November 17, 2023
I did a similar project a couple of years ago for a university course, only I also added style transfer, it turned out pretty cool. I scraped a bunch of news data together with it's news section and trained a self attention language model from scratch, turned out pretty hilarious. Data was in Hebrew, which is a challenge to tokenize because of the morphology. I posted it on ArXiV if someone's interested in the style transfer and tokenization process: https://arxiv.org/abs/2212.03019
Can you name the largest factor to why you did not ship it? Is it fear? shyness? Thinking that you only have 1 chance with your clients?
Some open questions I have: 1) Why did you choose to setup your own cluster? How was the experience with your cloud partner regarding faulty machines / switches? 2) What were your considerations choosing the cluster architecture that have proven the most valuable ? (apart from the all2all comms) 3) Can you share a bit more about your logging infra apart from the fact that it was Loki based? 4) What necessitated the use of a local docker registry? did you use other images apart from nvidia-container-runtime?
Thanks!