Managing the Risks and Opportunities of Agentic AI
Business leaders need the right approach and a highly innovative mindset to succeed with AI implementations.
Agentic AI will take GenAI a stage further, automating complex processing tasks by drawing on multiple agents to autonomously learn and adapt, giving rapid automated decisions.
Unlike traditional reinforcement learning, Agentic AI can bypass the extensive learning phase due to its inherent reasoning capabilities, leveraging Large Language Models (LLMs) as powerful reasoning engines.
It can perform actions, learn through trial and error, and receive feedback to strengthen its decisions and effectiveness.
Agentic AI leverages Large Language Models (LLMs) as powerful reasoning engines that can send commands to existing tools via APIs.
Author's summary: Agentic AI automates complex tasks with rapid decisions.