Agentic AI
What is an agentic AI
Agentic AI refers to an autonomous AI system that can independently reason, plan, and execute complex, multi-step tasks to achieve a predetermined goal with minimal human supervision. Unlike generative AI, which primarily focuses on creating content based on human prompts, agentic AI is proactive and focused on taking action. It operates by continually perceiving its environment, reasoning through options, acting on its decisions, and learning from the outcomes in an iterative loop.
Types of agentic AI systems
Agentic AI can be deployed in different configurations, from single-purpose agent to large-scale multi-agent systems.
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Single-agent: A single AI agent works alone to complete a defined, focused task.
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Multi-agent: Multiple AI agents with specialized skills collaborate and coordinate to tackle complex workflows. This can be structured in a vertical hierarchy, with a lead agent overseeing others, or a horizontal, decentralized structure where all agents operate as equals.
Evolution into agentic AI
Stage 1: More human oversight (Generative AI assistants) At the initial stage, AI systems primarily function as generative AI assistants, like early versions of chatbots or writing aids with high human involvement. It is reactive and prompt bases with “Human in the loop”.
Stage 2: Generative AI agents This stage enhances the basic AI assistant with greater context awareness and tool-use capabilities, creating early generative AI agents with expanded capabilities with agents that are able to perform multi step tasks. They are governed by guardrails and still reliant on prompts.
Stage 3: Agentic AI systems Agentic AI systems represent a major shift toward greater autonomy, integrating more complex reasoning, planning, and memory. They offer proactive execution instead on waiting on prompts, offer continuous learning, and with “Human on the loop” where the human role changes from direct involvement to strategic oversight.
Stage 4: Autonomous AI agents The final stage involves the deployment of highly autonomous, multi-agent systems that operate with minimal human intervention. This has specialized multi agent collaboration to tackle complex end to end workflows and human focus shifts from oversight to governance.
Implementing agentic AI with Amazon Bedrock
Amazon Bedrock
