Abstract: Driven by the explosive escalation of machine learning applications, considerable efforts have been devoted to distributed edge learning. To alleviate the so-called straggling issue, coded ...

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.

Abstract: This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations of multiclass image objects. We propose a generic end-to-end approach that ...

Security researchers have tracked multiple daily fake Zoom attacks targeting crypto users. Over $300 million has been stolen through malware shared during video calls. The malware can silently infect ...

The hype surrounding AI in software development is undeniable. We are witnessing a paradigm shift, where "vibe coding" — expressing intent in natural language and leveraging AI large language models ...

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 ...

With the rise of artificial intelligence, there has been a growing belief in the tech industry that coding will soon become redundant, given that new AI models are getting better not just at writing ...