AI Briefing#ray
The latest AI and developer news about #ray, with the original source and a short summary.
The latest AI and developer news about #ray, with the original source and a short summary.
The team fused metrics computation with Ray inference to eliminate data serialization overhead, reducing end-to-end wall-clock time by 25–32% across dataset sizes.
A security benchmark found that default Ray and vLLM configurations on Kubernetes expose critical control-plane ports to cross-namespace attacks, which standard scanners fail to detect.
Molt is a PyTorch-based reinforcement learning framework that treats the agent itself as a program to support training of large-scale models.
RadixArk has released Miles, an open-source framework that integrates SGLang, Megatron-LM, and Ray for large-scale LLM reinforcement learning (RL) post-training.
The cause of Ray training failures wasn't the GPU, but CPU starvation affecting the ENA driver.
Netflix built a flexible LLM Post-Training Framework on top of Ray, PyTorch, and vLLM.
Hugging Face Transformers integrated Ray into its RAG models to improve document retrieval speed and fine-tuning scalability.