Large language models (LLMs) are becoming increasingly powerful, but their inner workings can often remain a mystery. This lack of transparency can be problematic, especially when LLMs are used in critical areas like healthcare or finance. Here's where interpretable prompting enables us to understand how LLMs arrive at their answers and fostering trust in their capabilities.
What is Interpretable Prompting?
Interpretable prompting is a technique that encourages LLMs to provide not just answers, but also the reasoning behind those answers. By crafting prompts that demand explanations, step-by-step walkthroughs, or visual representations, we can gain valuable insights into the model's thought
