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saranormous

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Will Nvidia Train LLMs? Interview Podcast with Jensen Huang Founder/CEO

nopriorspod.com
2 points·by saranormous·3 tahun yang lalu·2 comments

dead

no-priors.com
5 points·by saranormous·3 tahun yang lalu·2 comments

comments

saranormous
·3 tahun yang lalu·discuss
A lot of people who can’t code can now use LLMs to generate usable code, so it doesn’t seem totally wrong? Example: https://twitter.com/emollick/status/1649477099353411585?s=46...
saranormous
·3 tahun yang lalu·discuss
host here. thanks for sharing Tim. highlights for me: Nvidia founding story, his pov on the durability of transformers, the two ways he runs nvidia (shipping reliable chips and exploring new fringe applications), and the apps he’s interested in (eg climate modeling, bio).

feedback and guest suggestions?
saranormous
·3 tahun yang lalu·discuss
what’s the false statement?
saranormous
·3 tahun yang lalu·discuss
discusses the foundation model landscape, how they at nvidia decide to train models (or not), operating model at nvidia, durability of transformers, the h100 chip, what’s next
saranormous
·3 tahun yang lalu·discuss
discusses the foundation model landscape, how they at nvidia decide to train models (or not), operating model at nvidia, durability of transformers, the h100 chip, what’s next
saranormous
·3 tahun yang lalu·discuss
this is awesome. is there good research explaining methodology of feedback collection/desired dataset (beyond just relative human preference?)
saranormous
·3 tahun yang lalu·discuss
is there good background reading on ecDNA somewhere?
saranormous
·3 tahun yang lalu·discuss
nutmeg overdose? where’s the research
saranormous
·4 tahun yang lalu·discuss
do you have to review/publish the “chore” output for this to work? Thinking about how this applies to writing, when I don’t have the creativity every day, but it’s probably still good practice and useful to have the file of ideas