Building an open-source post-training stack for large language models from first principles.
Building an open-source post-training stack for large language models from first principles.
The goal is to understand and implement the systems behind modern reasoning models end-to-end:
• SFT
• Preference Optimization
• RLHF / RLVR
• Rew
How it ranks: Backlist reads my Twitter/X timeline, scores every tweet for substance with an LLM rubric (not engagement), and publishes the daily top picks with a one-line takeaway. Curated by Surya Dantuluri.