Saurabh Shah @saurabh_shah2
training olmos @allen_ai prev @Apple @Penn 🎤dabbler of things🎸 🐈⬛enjoyer of cats 🐈 and mountains🏔️he/him saurabhs.site Seattle, WA Joined December 2022-
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First Bob now Kevin 🙄
First Bob now Kevin 🙄
Figured it out nw
If you visit me in Seattle like @aryaman2020 and @michaelryan207 I will show you what life’s all about Or at least take you to Ai2 office where the snacks are pretty good
anyone know anyone at @EvoscaleAI in nyc? Would love to chat this week!
I’ll be in nyc next week! Would love to grab a coffee or a drink with folks. I’m interested in language models, especially how they relate to: — reinforcement learning — code gen and agents — accelerating science, especially biology and protein design
Happy to say Ai2 is now on the frontier of blueberry size. Deepseek moment for big blueberries
Holy shit they’re doing on-policy RL by just deploying the model to prod lmao that’s so baller. also 2 hrs for a training step makes our 10 minute steps feel lightning fast @hamishivi … they probably have a bigger batch size though 😅
Holy shit they’re doing on-policy RL by just deploying the model to prod lmao that’s so baller. also 2 hrs for a training step makes our 10 minute steps feel lightning fast @hamishivi … they probably have a bigger batch size though 😅 https://t.co/LSAV5OgVXU
RL env is a thing that runs LM generation and produces a score (we call this the reward) eval is a thing that runs LM generation and produces a score good abstraction by @willccbb to unify these in verifiers
RL env is a thing that runs LM generation and produces a score (we call this the reward) eval is a thing that runs LM generation and produces a score good abstraction by @willccbb to unify these in verifiers
go birds
Me when I’ve written a singleton class called PlasticBottle and I’ve already created an instance of it
Yeah. A “bitter lesson” I’ve been coming around to is products used by 1 billion people are not just helpful, but maybe necessary to push the frontier of what models can do…
Yeah. A “bitter lesson” I’ve been coming around to is products used by 1 billion people are not just helpful, but maybe necessary to push the frontier of what models can do…
If you’re interp-pilled you should also be olmo-pilled FYI
If you’re interp-pilled you should also be olmo-pilled FYI
GitHub losing to both hugging face and cursor needs to be studied Why does GitHub lfs suck so much! Mostly genuine question, what is hard about this (or: why is hf/xet impressive?)
rubric based rewards coming soon to an olmo near you 🫡
rubric based rewards coming soon to an olmo near you 🫡
> prime intellect hires @willccbb >huh, i wonder what they're gonna do with the guy who built a super easy-to-use and hackable RL env framework > prime ships platform for RL env that's super easy to use and hackable > holy shit
super cool report from @OwkinScience!! I noticed you sourced a lot of data from open datasets, any chance you'll release the datasets from this report openly? Seems like a super useful resource for the community 🙏
Ohhhhh I didn’t realize that xai worked weekends! Wowow
Ohhhhh I didn’t realize that xai worked weekends! Wowow
It’s sooo stupid that the answer to this q isn’t wandb @weights_biases pls pls lemme see the rollouts in a way that doesn’t suck. I know it’s a lot of data. We can subsample. I wanna see the tool calls in a good way too. Hmu we’ll figure it out together.
It’s sooo stupid that the answer to this q isn’t wandb @weights_biases pls pls lemme see the rollouts in a way that doesn’t suck. I know it’s a lot of data. We can subsample. I wanna see the tool calls in a good way too. Hmu we’ll figure it out together.
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