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.
IEEE

Aligning Crowd-Sourced Human Feedback for Reinforcement Learning on Code Generation by Large Language Models

Abstract: This paper studies how AI-assisted programming and large language models (LLM) improve software developers' ability via AI tools (LLM agents) like Github Copilot and Amazon CodeWhisperer, ...
The Hindu

Tourism sector attracted ₹30,000 cr. investments in 16 months: Kandula Durgesh

The State Tourism Department has attracted private investments of over ₹30,000 crore in the past 16 months. Tourism Minister Kandula Durgesh, accompanied by senior officials, held a meeting with ...
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 ...
Microsoft

CORE: Resolving Code Quality Issues using LLMs

As software projects progress, quality of code assumes paramount importance as it affects reliability, maintainability and security of software. For this reason, static analysis tools are used in ...
IEEE

Efficient Core-Selecting Incentive Mechanism for Data Sharing in Federated Learning

Abstract: Federated learning is a distributed machine learning system that uses participants’ data to train an improved global model. In federated learning, participants collaboratively train a global ...