A write-up maps the path from supervised LLM training to RL and world modeling
cwolferesearch · x · 2026-07-25
A step-by-step path from supervised training to RL and world models
The post points to a detailed write-up that lays out a progression for training LLMs:
- start with supervised next-token prediction
- move to reinforcement learning
- extend to agentic RL
- combine everything into a unified RL + world modeling objective
The author says each stage is explained in more detail in the linked write-up, and that PyTorch implementations are included in the images for reference.
Related event: Mapping the LLM Training Roadmap from SFT to World Modeling(2 posts)→
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