Understanding the Foundation: The Limitations of Reactive Prompting
The initial paradigm of interacting with Large Language Models (LLMs) was predominantly reactive. This approach involved providing a direct, single-turn instruction or query, to which the LLM would generate a response based solely on the immediate input and its pre-trained knowledge. Examples of reactive prompting are ubiquitous: “Summarize this article,” “Write a