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

Active Predictive Coding: Brain-Inspired Reinforcement Learning for Sparse Reward Robotic Control Problems

Abstract: In this article, we propose a backpropagation-free approach to robotic control through the neuro-cognitive computational framework of neural generative coding (NGC), designing an agent ...

Apple’s App Course Runs $20,000 a Student. Is It Really Worth It?

Apple, Michigan taxpayers, and one of Detroit’s wealthiest families spent roughly $30 million training hundreds of people to ...
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 ...
Mint

Should you still learn to code? Godfather of AI says says don’t give up on computer science degree just yet

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 ...
GitHub

jAST: Analyzing and Modifying Java ASTs with Python

The jast module helps Python applications to process trees of the Java abstract syntax grammar. An abstract syntax tree can be generated by using the parse() function from this module. The result will ...