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agi delayed four days

The day after submitting your rebuttals #NeurIPS2023

When you switch back from a 4k monitor to a 1080p monitor

Introducing SANPO, a multi-attribute video dataset for outdoor human egocentric scene understanding composed of both real-world and synthetic data, including depth maps and video panoptic masks with a wide variety of semantic class labels. Read more → goo.gle/3ZISInU

I’m incredibly excited to welcome Mike Portnoy 🤘 back into Dream Theater!

This is incredibly important. We will all be using such methods soon.

So how exactly does fine-tuning change a model's pretraining capabilities? Find out with 73 pages of detailed investigation on well-defined procedural tasks! From instruction fine-tuning to jailbreaking, there's something for everyone! :D Collab with Samyak & Robert Kirk!

Sometimes, during mid-project code optimization, you find yourself in a groove, spotting potential efficiency everywhere. It's easy to forget the main goal - a functioning project, not one that's fully optimized.

something addictive about watching your models train

Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

Check out our new preprint! GraphFM - A framework for learning from multiple graph datasets simultaneously. Led by the awesome Divyansha

language modeling is not unsupervised learning. it is not (and please stop saying this) self-supervised learning. next-token prediction is textbook _supervised_ learning, and i will die on this hill