[Lesson 5.3] Side by Side: Let’s Add Context to Our Prompt
In this lecture, we explore the concept of "context" in prompt engineering for business. We demonstrate how to provide additional information to AI models through prompts, enabling them to perform tasks effectively even when they lack specific knowledge.
Specifically, we focus on the domain of warranty assessment. By leveraging "in-context learning," we enhance the model's understanding of relevant parameters, categories, and catalog information. This approach empowers the AI to assess warranty requests more accurately and efficiently.
Through practical examples and exercises, we guide learners in structuring their prompts using the ICO framework (Instructions, Context, Output), incorporating emotional appeals, delimiter tags, and markdown formatting to improve prompt efficacy.
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