LoRA makes fine-tuning more accessible, but it's unclear how it compares to full fine-tuning. We find that the performance often matches closely---more often than you might expect. In our latest Connectionism post, we share our experimental results and recommendations for LoRA.…
Efficient training of neural networks is difficult. Our second Connectionism post introduces Modular Manifolds, a theoretical step toward more stable and performant training by co-designing neural net optimizers with manifold constraints on weight matrices.…
SGLang now supports deterministic LLM inference! Building on @thinkymachines batch-invariant kernels, we integrated deterministic attention & sampling ops into a high-throughput engine - fully compatible with chunked prefill, CUDA graphs, radix cache, and non-greedy sampling.
✅…
The internet is truly a scary place, in lesser than 24 hours we have more than 1.2k 'unfriendly' requests to our site (more bad actors still managed to hit our nginx)
Researcher in 2026
>Use LLMs to generate 20 papers
>Spend 2 weeks clicking approve/reject
>Bill: 20k$ in API credits
>Spend 2 weeks verifying them, 1 is good
>Publish paper
>GitHub issues: Data leakage, bugs; ignore
>post on X: Human coding is obsolete! AI invented new science🤯
Researcher in 2026
>Use LLMs to generate 20 papers
>Spend 2 weeks clicking approve/reject
>Bill: 20k$ in API credits
>Spend 2 weeks verifying them, 1 is good
>Publish paper
>GitHub issues: Data leakage, bugs; ignore
>post on X: Human coding is obsolete! AI invented new science🤯
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I build generative AI for images, videos, text, tabular data, weights, molecules, and video games.
18K Followers 4K FollowingAssociate Professor at UC Berkeley. Former Research Scientist at Google DeepMind. ML/AI Researcher working on foundations of LLMs and deep learning.
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58K Followers 3K FollowingTech Investor & writer. I cover in-depth dives and alternative data on tech (here and in my newsletter with over 14k subscribers). Tweets are only opinions.
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796 Followers 0 FollowingPASCAL2 (Pattern Analysis, Statistical Modelling and Computational Learning) is a Network of Excellence funded by the European Union.
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Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
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