Machine Learning at Berkeley

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Machine Learning at Berkeley

Machine Learning at Berkeley

@BerkeleyML

Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡

Berkeley, CA Se unió Aralık 2016
108 Siguiendo3.7K Seguidores
Tahoe Therapeutics
Tahoe Therapeutics@tahoe_ai·
It was a pleasure meeting members of the @BerkeleyML community last week! Our team always enjoys connecting with talented students who are passionate about ML x Bio 💙 We’re excited to continue these conversations and are open to speaking with prospective internship and full-time candidates. Check out our careers page (link in comments)
Tahoe Therapeutics tweet mediaTahoe Therapeutics tweet media
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Machine Learning at Berkeley
Machine Learning at Berkeley@BerkeleyML·
@threebarebears hi daniel! we're berkeley's oldest machine learning club and were wondering if you'd be down to talk to us about the process of making hoppers (:
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Daniel Chong
Daniel Chong@threebarebears·
EVERYONE! If you're in SF this Sunday, come hear an awesome behind the scenes talk about the making of #hoppers , featuring some talented key folks from the movie!! (i'll be in the back cheering them on, come say hi) 💛
The Walt Disney Family Museum@WDFMuseum

“Hop” over to our theater on Sunday, March 22 to earn how story and animation inform each other to create the world of of Disney and Pixar’s latest feature film, "Hoppers" (2026), with Pixar’s Margaret Spencer, John Cody Kim, James W. Brown, and Cody Lyon. bit.ly/4l6kXaC

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Machine Learning at Berkeley retuiteado
sarrah
sarrah@AgaRosegirl·
We're excited to announce the third Berkeley BioML seminar of the semester happening next Tuesday 3/2! Join us for a talk by Vivek Natarajan (@vivnat ) from GDM on advancing science and medicine with collaborative AI agents. luma.com/532xzjiu
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Machine Learning at Berkeley
Machine Learning at Berkeley@BerkeleyML·
We’ll use Docent, our tool for agent oversight that analyzes execution traces at scale, to dig into what’s really happening. Folks should join for an interactive demo and a chance to dig in themselves.
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Machine Learning at Berkeley
Machine Learning at Berkeley@BerkeleyML·
Join us for a tech talk with Transluce on 2/23 from 6-7 pm, in Cory 540AB! Transluce is a non-profit AI lab working to ensure that AI oversight scales with AI capabilities. (Pizza provided!)
Machine Learning at Berkeley tweet media
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Machine Learning at Berkeley retuiteado
Arshia Nayebnazar
Arshia Nayebnazar@arshianazar·
We're excited to announce the second Berkeley BioML seminar of the semester happening next Tuesday 2/17! Join us for a talk by Kenny Workman (@kenbwork) from LatchBio about the performance of agents for spatial biology analysis. luma.com/f3xa3dst
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Machine Learning at Berkeley retuiteado
Aakarsh Vermani
Aakarsh Vermani@aakarshv1·
Another semester, another Berkeley BioML Seminar! We're excited to kick off this semester with a talk from @jeffruffolo from Profluent Bio on designing proteins with language models. Join us Monday night! luma.com/dknwfirh
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Machine Learning at Berkeley retuiteado
sarrah
sarrah@AgaRosegirl·
Join us for our next BioML seminar on monday, 1 december with Prof Yunha Hwang on Genomic language modeling for context-aware discovery! luma.com/74od3h5w
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Machine Learning at Berkeley retuiteado
Aakarsh Vermani
Aakarsh Vermani@aakarshv1·
Exciting news! We have 3 consecutive Berkeley BioML seminars to close out the semester, starting with a talk on 11/24 from Stanford Prof @brianltrippe on recent progress in generative models for protein design. luma.com/equ8amlk
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Machine Learning at Berkeley retuiteado
Aakarsh Vermani
Aakarsh Vermani@aakarshv1·
At the Berkeley BioML Seminar next Monday, 11/17, we'll be hearing from @chengzhong_ye about GPN-Star, a phylogenetically-aware genomic language model that achieves state-of-the-art accuracy on a diverse range of downstream tasks. Sign up here! luma.com/foy5xsu0
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Machine Learning at Berkeley retuiteado
Aakarsh Vermani
Aakarsh Vermani@aakarshv1·
Join us on Monday 10/20 for our next BioML seminar! This week we'll be hearing from Brandon Wood (@bwood_m ) on advancements in molecular modeling from Meta FAIR (OMol25 + UMA) luma.com/prcn3ggj
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Machine Learning at Berkeley
new paper out from parth, our frisbee player of many talents!! current methods to personalise frontier models are brittle/limited. advisor models can learn from experience & transfer these lessons to a more powerful student model that is unable (or unwilling) to learn directly!
Parth Asawa@pgasawa

Training our advisors was too hard, so we tried to train black-box models like GPT-5 instead. Check out our work: Advisor Models, a training framework that adapts frontier models behind an API to your specific environment, users, or tasks using a smaller, advisor model (1/n)!

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