Jacob Berg
@jacob-berg.bsky.social
Masters Student who ❤️ 🤖 @ UW! I’m Member of Weird Lab
Reposted by Jacob Berg
Inspired by his father’s study of neural networks, #UWAllen CS and Philosophy major @andreiskiii.bsky.social taught himself the subject on his way to enrolling in UW at age 15. He just won a @pdsoros.bsky.social Fellowship to pursue a Ph.D. at MIT in #AI. pdsoros.org/fellows/andr... #HuskyExperience
Andre Ye – Paul & Daisy Soros Fellowships for New Americans
pdsoros.org
April 10, 2025 at 11:09 PM
Inspired by his father’s study of neural networks, #UWAllen CS and Philosophy major @andreiskiii.bsky.social taught himself the subject on his way to enrolling in UW at age 15. He just won a @pdsoros.bsky.social Fellowship to pursue a Ph.D. at MIT in #AI. pdsoros.org/fellows/andr... #HuskyExperience
Reposted by Jacob Berg
Reposted by Jacob Berg
Interested in retrieving (sub-)trajectories from enormous datasets like DROID? 🦣
Check out our retrieval code using DTW and vision foundation model features!
Code: github.com/WEIRDLabUW/S...
Website: weirdlabuw.github.io/strap
Check out our retrieval code using DTW and vision foundation model features!
Code: github.com/WEIRDLabUW/S...
Website: weirdlabuw.github.io/strap
STRAP retrieves semantically meaningful trajectories on large datasets like DROID making it a powerful general-purpose algorithm for robot trajectory retrieval!
🧵 5/6
🧵 5/6
February 12, 2025 at 8:38 AM
Interested in retrieving (sub-)trajectories from enormous datasets like DROID? 🦣
Check out our retrieval code using DTW and vision foundation model features!
Code: github.com/WEIRDLabUW/S...
Website: weirdlabuw.github.io/strap
Check out our retrieval code using DTW and vision foundation model features!
Code: github.com/WEIRDLabUW/S...
Website: weirdlabuw.github.io/strap
Reposted by Jacob Berg
The deepseek r1 paper and download links: github.com/deepseek-ai/...
GitHub - deepseek-ai/DeepSeek-R1
Contribute to deepseek-ai/DeepSeek-R1 development by creating an account on GitHub.
github.com
January 20, 2025 at 1:38 PM
The deepseek r1 paper and download links: github.com/deepseek-ai/...
Reposted by Jacob Berg
Have some offline data lying around? Use it to robustify few-shot imitation learning! 🤖
STRAP 🎒 is a retrieval-based method that leverages semantic sub-trajectories in offline datasets to augment the training data.
🧵 1/6
STRAP 🎒 is a retrieval-based method that leverages semantic sub-trajectories in offline datasets to augment the training data.
🧵 1/6
December 20, 2024 at 11:28 PM
Have some offline data lying around? Use it to robustify few-shot imitation learning! 🤖
STRAP 🎒 is a retrieval-based method that leverages semantic sub-trajectories in offline datasets to augment the training data.
🧵 1/6
STRAP 🎒 is a retrieval-based method that leverages semantic sub-trajectories in offline datasets to augment the training data.
🧵 1/6
Reposted by Jacob Berg
Remember Molmo? The full recipe is finally out!
Training code, data, and everything you need to reproduce our models. Oh, and we have updated our tech report too!
Links in thread 👇
Training code, data, and everything you need to reproduce our models. Oh, and we have updated our tech report too!
Links in thread 👇
December 9, 2024 at 6:34 PM
Remember Molmo? The full recipe is finally out!
Training code, data, and everything you need to reproduce our models. Oh, and we have updated our tech report too!
Links in thread 👇
Training code, data, and everything you need to reproduce our models. Oh, and we have updated our tech report too!
Links in thread 👇
Reposted by Jacob Berg
the science of LMs should be fully open✨
today @akshitab.bsky.social @natolambert.bsky.social and I are giving our #neurips2024 tutorial on language model development.
everything from data, training, adaptation. published or not, no secrets 🫡
tues, 12/10, 9:30am PT ☕️
neurips.cc/virtual/2024...
today @akshitab.bsky.social @natolambert.bsky.social and I are giving our #neurips2024 tutorial on language model development.
everything from data, training, adaptation. published or not, no secrets 🫡
tues, 12/10, 9:30am PT ☕️
neurips.cc/virtual/2024...
NeurIPS Tutorial Opening the Language Model Pipeline: A Tutorial on Data Preparation, Model Training, and AdaptationNeurIPS 2024
neurips.cc
December 10, 2024 at 3:31 PM
the science of LMs should be fully open✨
today @akshitab.bsky.social @natolambert.bsky.social and I are giving our #neurips2024 tutorial on language model development.
everything from data, training, adaptation. published or not, no secrets 🫡
tues, 12/10, 9:30am PT ☕️
neurips.cc/virtual/2024...
today @akshitab.bsky.social @natolambert.bsky.social and I are giving our #neurips2024 tutorial on language model development.
everything from data, training, adaptation. published or not, no secrets 🫡
tues, 12/10, 9:30am PT ☕️
neurips.cc/virtual/2024...
@arhanjain.bsky.social’s dog at it again
December 6, 2024 at 2:09 AM
@arhanjain.bsky.social’s dog at it again
Reposted by Jacob Berg
We’ve been investigating how sim, while wrong, can be useful for real-world robotic RL! In our #NeurIPS2024 work, we theoretically showed how naive sim2real transfer can be inefficient, but if you *learn to explore* in sim, this transfers to the real world! We show this works on real robots! 🧵(1/6)
December 6, 2024 at 12:46 AM
We’ve been investigating how sim, while wrong, can be useful for real-world robotic RL! In our #NeurIPS2024 work, we theoretically showed how naive sim2real transfer can be inefficient, but if you *learn to explore* in sim, this transfers to the real world! We show this works on real robots! 🧵(1/6)
Reposted by Jacob Berg
I'm excited about scaling up robot learning! We’ve been scaling up data gen with RL in realistic sims generated from crowdsourced videos. Enables data collection far more cheaply than real world teleop. Importantly, data becomes *cheaper* with more environments and transfers to real robots! 🧵 (1/N)
December 5, 2024 at 2:13 AM
I'm excited about scaling up robot learning! We’ve been scaling up data gen with RL in realistic sims generated from crowdsourced videos. Enables data collection far more cheaply than real world teleop. Importantly, data becomes *cheaper* with more environments and transfers to real robots! 🧵 (1/N)
Just wanted to say @arhanjain.bsky.social has a very cute dog
December 5, 2024 at 2:08 AM
Just wanted to say @arhanjain.bsky.social has a very cute dog