…tion in PyTorch Distributed Training with Ray Train Serve PyTorch models at scale with Ray Serve Hyperparameter tuning using Ray Tune Memory Profiling with Mosaic Using Variable Length Atten…
…t frontier-lab resources do frontier work. Open research on large models requires open training data, open training and evaluation code, and models whose full development is public. We have …
… Labs, we’ve developed a new series of evaluations that assess AI models’ ability to use a flying drone, culminating in a new benchmark: Drone-Bench. Claude plays robotics In project Fetch, …
…etails change. On July 21, OpenAI disclosed that several of their models had broken out of an isolated test environment by exploiting a previously unknown (“zero-day”) vulnerability. The mod…
…me that Claude keeps beating. Works to understand the risks of AI models and develop ways to ensure future ones remain helpful, honest, and harmless. Studies and monitors the impact of AI sy…
Veogen brings leading AI video generation models into one workflow, so you can compare quality, speed, and cost without jumping between platforms. Use Veogen AI image generator to create, te…
Our most capable models for daunting technical work, setting a new bar in coding, finance, and the sciences. Our most capable models for daunting technical work. Claude Fable 5.2 sets a new …
… Temperance St, #700 Toronto, ON M5H 3V5 By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training stra…
… Temperance St, #700 Toronto, ON M5H 3V5 By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training stra…
…onments. MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning. “Automated failure attribution” is a crucial compon…