Dive deep into the world of Artificial Intelligence with our curated collection of articles, covering the latest breakthroughs and insights from leading researchers and engineers.
A practical LLM Reinforcement Learning guide covering REINFORCE to PPO/GRPO derivations, plus production engineering patterns like async rollouts, importance sampling, and token-stream stability.
Chi Guo Dong Bu Tu Guo Dong Pi
Learn how GRPO-RoC fixes outcome-based reward issues. This training method improves AI reasoning by 40% through data curation. With code examples & benchmarks.
Qing Ke Ai
Learn to replicate the DeepSeek R1 training process. This guide covers building a reinforcement learning pipeline from scratch using GRPO for advanced LLM reasoning.
Ning Si Ai
The field of artificial intelligence has seen rapid advancements in reinforcement learning for reasoning, particularly within large language models (LLMs). This article reviews influential research s...
Alex
## Qwen3 Training Pipeline: Pre-training, Reinforcement Learning, and Model Distillation ### Qwen3 Pre-training: Building a Robust Foundation Qwen3 training begins with a comprehensive three-stage ...
Alex
Master training 671B parameter LLMs with RL. Solve 5 critical challenges: Megatron vs FSDP, memory offloading, weight conversion, 1000+ GPU scaling. Real DeepSeek V3 workflow with GRPO achieving 10x speedup.
Alex