GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

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.
CNET

Vibe Coding as a Non-Coder: 6 Ways I Found to Have More Fun and Better Luck Creating With AI

My coding skills leave something to be desired. I never stuck with the instructional books and guides long enough to truly create the kinds of apps and programs I wanted to see. AI chatbots powered by ...
IEEE

Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations

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 ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

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 ...
IEEE

“Paper, Meet Code”: A Deep Learning Approach to Linking Scholarly Articles With GitHub Repositories

Abstract: Computer scientists often publish their source code accompanying their publications, prominently using code repositories across various domains. Despite the concurrent existence of scholarly ...