Where RL Fits: Training vs. Inference in the LLM Pipeline
Explains that RL in LLMs is a training/alignment stage, not inference, with pipeline context.
Reinforcement-Learning
Reinforcement Learning (ELI-Teen Explainer)
Teen-friendly explainer of reinforcement learning agents, rewards, exploration, delayed rewards, and applications.
Coding LLM Training with SFT and Verifiable RL
Explains scripted coding-LLM training with teacher traces, synthetic bugs, tests, SFT, and verifiable RL.
World Models in AI
Explains AI world models as internal predictive representations for planning across RL, LLMs, and robotics.
AgentFlow
Overview of AgentFlow, an agent architecture that trains a planner with Flow-GRPO for multi-turn tool use.