usage: run.py [-h] [--dataset DATASET] [--root ROOT] [--code-length CODE_LENGTH] [--max-iter MAX_ITER] [--num-anchor NUM_ANCHOR] [--num-train NUM_TRAIN] [--num-query ...
verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
Morning Overview on MSN
New AI finds missed Alzheimer’s cases and narrows racial gaps
Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients with Alzheimer’s disease who have slipped through the cracks, and do it in a ...
Discover how credit card validation codes work and protect against fraud. Learn about their placement, security role, and examples to secure online transactions.
AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...
Abstract: Self-supervised learning (SSL) is an efficient pre-training method for medical image analysis. However, current research is mostly confined to certain modalities, consuming considerable time ...
Abstract: Robotic systems often face challenges when attempting to grasp a target object due to interference from surrounding items. We propose a Deep Reinforcement Learning (DRL) method that develops ...
AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback