standard-llm-alignment-pipeline

IN premise — entries/2026/06/21/wiki-Large_language_model-chunk-6.md

Created 2026-06-21T09:50:09+00:00

The standard LLM alignment pipeline is: self-supervised pretraining → supervised fine-tuning → instruction tuning → RLHF

Summary

This records the standard four-stage process for building a modern language model, from raw text learning all the way through human-feedback reward shaping. It matters as a baseline assumption: any analysis of model behavior, failure modes, or capability gaps is implicitly anchored to this construction order, so claims that reference "standard" LLMs are making claims about systems built this specific way.