// ⚙ Fine-tuning & PEFT
Instruction Tuning (FLAN)
Fine-tuning on many instruction–response tasks for zero-shot generalization.
指令微调（FLAN） 2021 Foundational core
IN PLAIN WORDS
Rewriting 60+ NLP datasets as instructions and fine-tuning greatly improves zero-shot performance on unseen tasks. It underlies the SFT stage of every chat model.
Used in: SFT of every chat model
TIMELINE · prerequisites → this → what builds on it
01Original paper
Finetuned Language Models Are Zero-Shot Learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al. · 2021
arXiv ↗ ✓ Verified · arXiv API
02Where it sits
Learn the left column first; the right column builds on this one.
Related:LoRA (Low-Rank Adaptation)
Left: prerequisites · right: builds on this · dashed: related. Full map →
03Learning resources
Official docs, explainers, courses and reference code. All links checked.
04Where the course teaches it
On learning paths:Post-training & Reasoning Models
For AI / data
- Verification: verified, checked 2026-10-21.
- JSON: /api/learn/algorithms.json (id:
instruction-tuning)