Before it
Instruction tuning was being explored inside large industrial labs.
The problem
Nobody outside those labs had the prompts, the data or the models to study it.
What it introduced
An open collection of prompt templates across tasks, plus openly released instruction-tuned models.
Why it matters
It made instruction tuning reproducible in the open, months before ChatGPT made it famous.
What modern models inherit
Open instruction data as shared infrastructure.
What came next
The prompt collections fed the Flan collection and later open instruction datasets.