Rohan Shah @shahkrohan
ml bio @arcinstitute, math @penn linkedin.com/in/shahkrohan/ Joined December 2022-
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SOTA, Western open models ✅ Very large models ✅ New dimension to scale up intelligence✅ Built for under $3.5M 🤯 Been awesome to work with the team since @benchmark's investment last November. Special thanks to @adityaag @southpkcommons for introducing us!
SOTA, Western open models ✅ Very large models ✅ New dimension to scale up intelligence✅ Built for under $3.5M 🤯 Been awesome to work with the team since @benchmark's investment last November. Special thanks to @adityaag @southpkcommons for introducing us!
The most complete thread of them all from the man himself…
The most complete thread of them all from the man himself…
thrilled to share what we've been working on @arcinstitute... a step toward accurate in silico predictions of how cells respond to perturbations
thrilled to share what we've been working on @arcinstitute... a step toward accurate in silico predictions of how cells respond to perturbations
Introducing Arc Institute’s first virtual cell model: STATE
Tool use offers tremendous potential for integrating LLMs into biological experiment design, perhaps even more than scaling model size. Excited to build on our earlier results with BioDiscoverAgent, now with a significantly expanded tool suite. Great collab. led by @KexinHuang5!
Tool use offers tremendous potential for integrating LLMs into biological experiment design, perhaps even more than scaling model size. Excited to build on our earlier results with BioDiscoverAgent, now with a significantly expanded tool suite. Great collab. led by @KexinHuang5!
Aligning Language Models with preferences leads to stronger and safer models (GPT3 → ChatGPT). However, preferences (RLHF) contain irrelevant signals, and alignment objectives (e.g. DPO) can actually hurt model performance. We tackle both, leading to a ~2x performance boost.
We’re excited to share today that we’ve raised $80M in Series A funding to accelerate our mission to change the way the world works through AI. Read more at our blogpost: contextual.ai/news/announcin…
Today, we’re excited to announce RAG 2.0, our end-to-end system for developing production-grade AI. Using RAG 2.0, we’ve created Contextual Language Models (CLMs), which achieve state-of-the-art performance on a variety of industry benchmarks. CLMs outperform strong RAG…
Being able to be savvy in the face of uncertainty is the greatest determinant of early stage success. Can you produce results and attack problems that you don’t have the exact skills/knowledge for?
If you never risk being wrong you'll never beat the risk-free rate of return. Always being correct through caution isn't as powerful as synthesizing data at-speed and course correcting. Move fast and break things, even established theories of physics.
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c @minimal_system
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I07XNbUI4 @DeepFeed2
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🐮Moo @Moo_McMoo
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David Li @_David_Li
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lada @ladanuzhna
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