OpenFold3-preview (OF3p) is out: a sneak peek of our AF3-based structure prediction model. Our aim for OF3 is full AF3-parity for every modality. We now believe we have a clear path towards this goal and are releasing OF3p to enable building in the OF3 ecosystem. More👇

📣Announcing 2 @NeurIPSConf papers! "Parallelizing MCMC Across the Sequence Length": uses Newton iterations to parallelize MCMC! 🤯 But can we parallelize any nonlinear state space model? "Predictability Enables Parallelizability": proves what systems we can parallelize. 🧵

Super excited to share this preprint with @nate_diamant and my advisor @brianltrippe on how we can fine-tune diffusion models, language models, and more to match known distributional properties. Check it out!👇

🚨New paper! Generative models are often “miscalibrated”. We calibrate diffusion models, LLMs, and more to meet desired distributional properties. E.g. we finetune protein models to better match the diversity of natural proteins. https://t.co/2c06vD0x2D https://t.co/9Tbhf6ml8K