Edge 295: Self-Instruct Models
What if LLMs could auto improve their own instruction following capabilities?
In this Issue:
The Concept: Self-Instruct models.
The Research: Stanford's Alpaca paper.
The Tech: Microsoft’s Semantic Kernel framework.
💡 ML Concept of the Day: Self-Instruct Models
Instruction following has become one of the core building blocks of the new generation of LLMs. However, most traditional methods require human-written instructions which are very limited in quantify and diversity. One technique that has been evolving as an alternative is the idea to create LLMs that can bootstrap their own instructions. These methods are commonly known as self-instruct LLMs. The core technique was unveiled in a December 2022 paper.