Prompting as a Motivator for Universal Foundation Models

A research team has a large, pre-trained language model designed for general text understanding. Initially, to make this model perform a specific task like classifying emails as 'spam' or 'not spam', they had to collect thousands of labeled emails and use them to update the model's internal parameters. This process was resource-intensive. Subsequently, a new approach was discovered that achieved similar results with far less effort. Which statement best analyzes the core principle of this more efficient new approach?

Evaluating Model Adaptation Strategies for a Specialized Task

Recommending an Adaptation Strategy for a Legal Tech Startup