Machine Learning at Berkeley
@BerkeleyML
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Students at UC Berkeley working on academic research, ML education, industry projects, and fostering a vibrant ML community 🧠💡
Berkeley, CA
Joined December 2016
Join us for our next BioML seminar on monday, 1 december with Prof Yunha Hwang on Genomic language modeling for context-aware discovery! https://t.co/EoPyU0Wlb3
luma.com
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. This week, we're…
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excited for this talk!
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.
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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
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. This week we're…
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Come by for this exciting event!
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!
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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
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. This week we're…
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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
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. This week we're…
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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!
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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Super excited for the second installment of our BioML Series with Sarah Gurev (@sarahgurev): Benchmarking model performance on pandemic-threat viruses! Join us this Monday evening 9/29.
luma.com
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. We're excited to…
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The Berkeley BioML seminar series is back! We're kicking off the semester with a talk from Abhinav Adduri (@abhinadduri) on modeling cell state perturbations with STATE. Join us Monday evening 9/15
luma.com
[IN PERSON EVENT IN BERKELEY] Join us for a new seminar from the BioML group in Machine Learning at Berkeley, sponsored by Amplify Partners. We're excited to…
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Great deep dive into TPUs with amazing visuals by our very own @henryHM_ko!
I wrote a new blog on TPUs -- it's been fun seeing how different they are from GPUs and also drawing things on excalidraw again���️ https://t.co/kEZXbB8vmX
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Join ML@B and the founders of the ARC Prize @fchollet and @mikeknoop to reveal techniques designed to defeat ARC-AGI- a $1M competition. Register for the event on Wednesday, October 2nd, 12-2 pm!
luma.com
ARC Prize 2024 University Tour comes to Berkeley! AGI progress has stalled. You can change that. This is a private even open to university students and staff…
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ML@B is hosting our second-ever all day high school boot camp on the first weekend of September (8/31 to 9/1)! Applications are due Aug 17, 2024 and students can apply through https://t.co/ZNv6ZL1nfC
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⚡Introducing our free online course with @udacity and @googledevs—Gemini API by Google! Learn about LLMs, Gemini models, prompting techniques, and Google AI Studio. Enroll now: https://t.co/jiIODwckGR Read more from the Udacity CEO:
udacity.com
Today, Google and Udacity announced a free online course that teaches developers how to use Google AI Studio and the Gemini API to build generative AI capabilities into their applications, websites,...
🚀 Level up your AI skills with the free new Gemini API course from @Udacity and Google! Get more familiar with LLMs and learn how to use Google AI Studio and the Gemini API to build AI applications. Enroll today to #BuildWithGemini → https://t.co/X1BNoik5KQ
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⚡Introducing our free online course with @udacity and @googledevs—Gemini API by Google! Learn about LLMs, Gemini models, prompting techniques, and Google AI Studio. Enroll now: https://t.co/jiIODwckGR Read more from the Udacity CEO:
udacity.com
Today, Google and Udacity announced a free online course that teaches developers how to use Google AI Studio and the Gemini API to build generative AI capabilities into their applications, websites,...
🌟 Calling all developers – our new Gemini API by Google Course is live! This FREE course is your gateway to mastering the integration of generative AI into your applications, websites, and services. @googledevs Enroll in this free course today: https://t.co/5xYJqF4Ler
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🌟 Calling all developers – our new Gemini API by Google Course is live! This FREE course is your gateway to mastering the integration of generative AI into your applications, websites, and services. @googledevs Enroll in this free course today: https://t.co/5xYJqF4Ler
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Check out @alishbaimran's latest blog post delving into the application of ML in predicting protein structures, including insights on the newest AlphaFold model!
How does AlphaFold3 predict the structures of proteins, DNA/RNA, ligands and other biomolecules? I did a deep dive into protein folding, how AlphaFold works and the new model. Here’s what I learned: (resource in thread)
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Join us!
We will be starting shortly! We'll get started with dinner in 10 mins, followed by the talk at ~7:20. If you can't make it in person to Berkeley, join remotely here! https://t.co/lTnSDRXshp
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A wonderful profile of Arc's @BrianHie in this blog by @BerkeleyML. It traces his training in literary criticism and computer science as he now delves into the language of evolution. Glad to see that other folks share our appreciation for his talent! :) https://t.co/Qj5hO5Oy2F
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New blog post from @CadeGordonML as part of a series highlighting emerging researchers! Give it a read :)
Research taste and vision can be challenging to craft. To help crystalize their role in science, I wrote a piece in @BerkeleyML's blog celebrating the young faculty @BrianHie who's been able to show a great blend of the two. Read it here:
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I recently gave a talk to @BerkeleyML on Influence Functions through the lens of @AnthropicAI's recent work generalizing them to LLMs. Slides: https://t.co/J5XfsIJySW We go through the math, engineering, and interesting results uniquely afforded by this technique!
docs.google.com
The Data Made Me Do It: An Introduction to Influence Cade Gordon
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