How To Define an AI Agent Persona by Tweaking LLM Prompts
In AI Agents: A Comprehensive Introduction for Developers , I introduced the key traits of AI agents by comparing them to an employee working in an organization. In this article, we will explore how to add a persona to an agent by taking advantage of the system prompts available for large language models (LLM) and vision language models (VLM).
Understanding System Prompts
System prompts , also known as system roles, serve as a foundational layer of instruction for LLMs. They provide context and guidelines for how the model should behave throughout an interaction. Unlike user prompts, which change with each query, system prompts persist across the entire conversation — ensuring consistency in the AI’s behavior and responses.
Key functions of system prompts include:
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Janakiram MSV? is an analyst, advisor, and architect. Follow him on?Twitter ,??Facebook ?and?LinkedIn .
Great article, Janakiram MSV! System prompts are key to shaping AI agents' behavior and persona, enabling more effective task performance and human-like interactions. This creates exciting opportunities for improving user engagement and decision-making.
System prompts really are the secret sauce for getting AI agents to act the way you want. It’s so much easier to get the right tone and expertise when you can set those guidelines upfront