Self-Instruct Framework, Explained

Or how to “eliminate” human annotators

Image generated by DALL·E

Motivation

High-level overview of InstructGPT with human annotated outputs and ranking for supervised learning and reward model training | Source: Training language models to follow instructions with human feedback.

As Large Language Models (LLMs) revolutionize our life, the growth of instruction-tuned LLMs faces significant challenges: the critical need for vast, varied, and high-quality datasets. Traditional methods, such as employing human annotators to generate datasets — a strategy used in …

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