hardware / uses
GPT-4
“We used GPT-4 to rephrase certain aspects of the chat data, reformatting it or kind of generating new types of tokens and language and types of data that the model could see.”
Public evidence record
Mark Huang
Published podcast speaker
- Claims
- 14
- Episodes
- 1
- Shows
- 1
- Named items
- 1
Books, apps, and tools
The evidenced stack.
Claim ledger
What Mark said.
4 transcript-backed records
01 / belief
There's no minimum, I would say, or at least, I can't make such a strong statement as to say that that does not exist.
“There's no minimum, I would say, or at least, I can't make such a strong statement as to say that that does not exist.”
- Speaker
- Mark Huang
- Publisher
- Latent Space
02 / belief
I think provably solvable is always something that I know is extremely difficult, but from a heuristical standpoint, as well as like having like some sort of statistical efficiency on like how you can converge to the downstream tasks and improve the performance that way in a targeted manner, I do think there are papers that try to do that.
“I think provably solvable is always something that I know is extremely difficult, but from a heuristical standpoint, as well as like having like some sort of statistical efficiency on like how you can converge to the downstream tasks and improve the performance that way in a targeted manner, I do think there are papers that try to do that.”
- Speaker
- Mark Huang
- Publisher
- Latent Space
03 / belief
Yeah, I think Alibi, we haven't compared with that one specifically, mostly because I've noticed some of the newer architectures don't actually employ it a lot.
“Yeah, I think Alibi, we haven't compared with that one specifically, mostly because I've noticed some of the newer architectures don't actually employ it a lot.”
- Speaker
- Mark Huang
- Publisher
- Latent Space
04 / belief
If I think about the progression of the evaluations, it start to force the model to actually understand like the totality of the context.
“If I think about the progression of the evaluations, it start to force the model to actually understand like the totality of the context.”
- Speaker
- Mark Huang
- Publisher
- Latent Space