Enrique Piqueras @epiqueras1
Organizing the world's information and making it universally accessible and useful using JAX @Google @Deepmind. epiqueras.com San Francisco, CA Joined May 2016-
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Penzai’s Colab integration is just 🤯
Penzai’s Colab integration is just 🤯
Make
My wife thinks it’s really cute how these resemble toddlers learning to play soccer. They’d be a fun gift sometime in the future.
My wife thinks it’s really cute how these resemble toddlers learning to play soccer. They’d be a fun gift sometime in the future.
GenUI is Web 4.0 @rauchg doesn’t miss.
Peak hours at an excellent kitchen can be incredibly inspirational. It’s beautiful to see people working so well together to make.
Peak hours at an excellent kitchen can be incredibly inspirational. It’s beautiful to see people working so well together to make.
Gemini 1.5 Pro is now available on the @vercel AI SDK Playground, in all its 1M-token context window glory. This is a big deal. Large context windows make new classes of AI apps not just possible, but easy. sdk.vercel.ai/s/uTHNh5mbs-Uk…
Heard this week: “Somehow in the past week the MK turned into grad school. I feel like a TA again. What’s going on here? Is this a pysop to make me and JAX Matt nostalgic?” - JAX Roy “Stack more layers” they said. “Forget about your reproducing kernel Hilbert spaces” they said.…
Might be the first podcast I’ll watch from start to finish.
Might be the first podcast I’ll watch from start to finish.
The gmm dot py!
Flops, always has been.
I still don’t know how to make a website at Google, but hey, with only a few hundred lines of Beam I was able to wield thousands of resting TPUs across North America to run some JAX in a multi step pipeline. Set and forget style. Pretty good tech tree tradeoff for the times if…
JAX, Like Linux in 2004.
“I know I should be using Jax. A friend just shamed me for using pytorch, but this is a startup and we decided to move fast. I’m sorry we would do better to be cooler next time. I’m not proud of this fact.” yitay.net/blog/training-…
❤️ jax
I’d much rather code around fixed shapes than have to manually deal with scheduling and memory space assignment. Still, I think partial support of ragged shapes could be the optimal point for JAX. What are some cases where you’ve written off JAX for fixed shape reasons. I bet…
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ララどり d/age IS.. @presklux49
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⿻(((E. Glen Weyl/�.. @glenweyl
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Keran R @KeranRong
60 Followers 122 Following Allseas | MIT | Google AI | Deepmind Gemini Multimodal
Anirudh Goyal @anirudhg9119
5K Followers 489 Following Gemini ♊ Spent time at @Berkeley_EECS, @MPI_IS, @DeepMind.
Nikolay Savinov 🇺�.. @SavinovNikolay
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Mo Bavarian @mobav0
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Benjamin Chetioui - @.. @_SIben_
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Noam Brown @polynoamial
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Trevor Gale @Tgale96
1K Followers 250 Following Research Scientist @ Google DeepMind | PhD Candidate @ Stanford CS
Tal Broda 🇮🇱 �.. @talbroda
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Jack Rae @drjwrae
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a great resource to learn jax
Behold, the power of JAX and XLA! github.com/google/maxtext
Penzai’s Colab integration is just 🤯
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
Excited to share Penzai, a JAX research toolkit from @GoogleDeepMind for building, editing, and visualizing neural networks! Penzai makes it easy to see model internals and lets you inject custom logic anywhere. Check it out on GitHub: github.com/google-deepmin…
@epiqueras1 This just needs to become a toggle in Chrome to recite any technical web page
New research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) science.org/doi/10.1126/sc…
If you look closely, you can see the entire Jax team in this photo
Had so much fun chatting with my friends @TrentonBricken and @_sholtodouglas. No way to summarize it, except: This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them. You would be…
One of the best parts of SF is hanging out with my good friends @dwarkesh_sp and @TrentonBricken. Dwarkesh is the best interviewer in the world - and I hope this gives you a good feeling for what’s it’s like to be on the ground in the labs. It only gets crazier from here!
Had so much fun chatting with my friends @TrentonBricken and @_sholtodouglas. No way to summarize it, except: This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them. You would be…
@epiqueras1 How the Bitter Lesson manifests in hardware.
@epiqueras1 Internal “beam” is just API compatible with Apache Beam, but under the hood is flume which is a thing which Jeff Dean’s PhD superviser wrote when finally got hired into Google:) please enjoy the full power of liquid sharding while realizing outside Google it is still Bronze Age:)
@epiqueras1 It's on YouTube now (ok since 2 years ago) youtu.be/3t6L-FlfeaI?si…
@epiqueras1 - run some boq command - follow the production playbook - wait 7-14 days for your GFE change to land - find out you had a typo - wait 14 days for your GFE change to land - find out you had a typo - wait 14 days for your GFE change to land - it's a new quarter and OKRs changed
Half of being a startup is just being really defensive about what problems you give yourself - using boring but functional tech stacks is like 70% of it imo. Particularly if your business is based around something as intrinsically labor intensive as ML.
“I know I should be using Jax. A friend just shamed me for using pytorch, but this is a startup and we decided to move fast. I’m sorry we would do better to be cooler next time. I’m not proud of this fact.” yitay.net/blog/training-…
@epiqueras1 @jekbradbury I thought it was weird that James always left the room before you joined it
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