An overview of Post-training algorithms for large language model (LLM)
In the race to build truly helpful AI assistants, we’ve discovered a fundamental truth: raw intelligence isn’t enough. A model that masters calculus but can’t refuse harmful requests is like a library with no librarian - overflowing with knowledge but dangerously uncurated. This is the alignment problem: how do we transform raw language models into trustworthy collaborators? For years, Reinforcement Learning from Human Feedback (RLHF) reigned supreme. Its PPO-based approach taught ChatGPT to decline malicious requests and helped Claude write harmless poetry....