Reflective Prompting: Communicating Better with AI

Author(s): Arunabh Bora

Originally published on Towards AI.

How a technique from human communication can improve clarity, accuracy, and collaboration with large language modelsImage generated using Sora

If you’ve ever taken a course on effective communication, you’ve likely come across reflective listening — a technique where one person repeats back what they’ve heard to confirm mutual understanding. It’s a simple yet powerful way to make conversations clearer and more productive.

Now, imagine applying that same principle to your interactions with AI.

As large language models become common collaborators in our work and writing, how we communicate with them matters more than ever. Just like humans, LLMs benefit from prompts that are clear, iterative, and confirm understanding. In this article, we’ll explore the idea of reflective prompting — a method inspired by reflective listening — to enhance the way we engage with AI.

Whether you’re refining a blog post, building a chatbot, or just trying to get better answers, this technique can make your prompts smarter, your responses sharper, and your conversations with AI more human.

Text-to-SQL systems are AI-powered tools that convert natural language queries into SQL statements. Instead of writing complex SQL syntax, users can simply ask questions like “Show me all orders from last month” — and the system translates it into a precise SQL query that a database can understand.

These systems are incredibly helpful for… Read the full blog for free on Medium.

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Published via Towards AI