AI Agent Prompt Engineering
With all the hype surrounding AI Agents, it’s easy to overlook that a prompt remains at the core of their operation.
With all the hype surrounding AI Agents, it’s easy to overlook that a prompt remains at the core of their operation.
Prompt Engineering is crucial for AI agents utilising advanced techniques like Tool Use Agents, Modular Reasoning, ReAct (Reasoning and Acting) agents & Iterative Retrieval-Augmented Generation (RAG).
It defines how these agents deconstruct tasks, sequence tool usage & integrate external information to produce accurate outcomes.
In Modular Reasoning, well-designed prompts help break down complex problems into manageable sub-tasks, facilitating systematic and efficient execution.
For ReAct agents, prompts direct both reasoning and action, enabling agents to explain their decisions and iteratively refine their approach.
Likewise, Iterative Retrieval-Augmented agents rely on adaptive prompts to repeatedly fetch relevant information, enhancing accuracy and relevance throughout task completion.
Chief Evangelist @ Kore.ai | I’m passionate about exploring the intersection of AI and language. From Language Models, AI Agents to Agentic Applications, Development Frameworks & Data-Centric Productivity Tools, I share insights and ideas on how these technologies are shaping the future.
