Noa Roggendorff
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it's a similar architecture to image generation, so.. kinda? diffusion llms aren't very popular though, so there isn't a ton of research on them. transformers is a much more reliable model type for now.
edit: it's not really a super serious experiment, they are more for testing if a logical response is possible this way.
this is also kinda why q and a bots are really bad, people just found that that format doesn't scale very well at all
edit 2: (i said one of, because another huge reason is quality data scarcity and lack of flexibility. with incremental models like gpts, you can have any number of roles and stuff, whereas input-output models just have that)

Dear Han,
Apologies for the inconvenience.
Indeed, bpetokenizers were deprecated quite some time ago.
Perhaps a look at the documentation, or my GitHub may solve your problem?
you’re welcome
Noa
none yet not on here smh

=> Just replace "github" with "gitingest" in the url, and you get the whole repo as a single string that you can then paste in your LLMs
..maybe

Winky frown?

I couldn't help but notice that our productivity has room for improvement. To address this, we will be engaging in a company-wide morale-building activity designed to boost teamwork, enthusiasm, and *most importantly* results.
I know you're all as excited as I am for this fun and absolutely required initiative. Participation is not just encouraged, it's mandatory. Think of it as a team-bonding experience you never signed up for but will absolutely tolerate.
More details to follow, but for now, mark your calendars and prepare for an engaging experience that will definitely make us all better, stronger, and more synchronized, or at least give us something to talk about later.
Looking forward to seeing you all there!
Best,
Me

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