AI Competes with Generative AI, AI Agents, and Agentic AI
agents autonomous
| Source: Dev.to | Original article
AI terms are being clarified. Key differences are emerging between Generative AI, AI Agents, and Agentic AI.
The terms AI, Generative AI, AI Agents, and Agentic AI have become increasingly prevalent in discussions around artificial intelligence over the past year. As the field continues to evolve, understanding the distinctions between these concepts is crucial.
Generative AI is primarily concerned with creating new content based on learned patterns, whereas AI agents are concrete systems designed to act upon their environment. Agentic AI, on the other hand, refers to the broader capability and field of goal-directed autonomous AI, encompassing AI agents and their potential applications.
The clarification of these terms matters because it helps investors, researchers, and users make informed decisions about which technologies to adopt and how to leverage their strengths. As the synergy between generative AI and agentic AI becomes more apparent, it is likely that we will see increased collaboration and innovation in the development of autonomous systems and AI agents. What to watch next is how these technologies will be applied in real-world scenarios, particularly in areas such as real-time decision making and task automation.
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