A plotting tool that outputs Line Rider maps, so you can watch a man on a sled scoot down your loss curves. 🎿 - jndean/LossRider

We find that across a wide range of robot policy learning scenarios, treating supervised policy learning with an implicit model generally performs better, on average, than commonly used explicit...

with Horace He, Less Wright, Luca Wehrstedt, Tianyu Liu, Wanchao Liang TL;DR We implemented experimental async tensor parallelism support in PyTorch. We integrated it in TorchTitan and observed: Up to ~29% forward pass speedup and ~8% E2E speedup in Llama3…

Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Current methods for training...

archived 7 Oct 2024 18:43:10 UTC

Transformer tends to overallocate attention to irrelevant context. In this work, we introduce Diff Transformer, which amplifies attention to the relevant context while canceling noise....

A key property of reasoning systems is the ability to make sharp decisions on their input data. For contemporary AI systems, a key carrier of sharp behaviour is the softmax function, with its...

The rise of intelligent autonomous systems, especially in robotics and autonomous agents, has created a critical need for robust communication middleware that can ensure real-time processing of...

Meta Motivo, an open-source behavioral foundation model designed to control virtual, physics-based humanoid agents.

It aims to significantly simplify the creation of general-purpose humanoid agents for robotics and virtual avatars.

Try the demo: https:…