Agentic AI is the combination of different AI approaches, techniques, and models that create a new series of autonomous agents to analyze data, establish goals, and create action plans to achieve them.

What is the difference between Agentic AI and Generative AI?

Agentic AI acts independently and can make decisions, perform tasks, and interact with its environment without human intervention. Generative AI creates new content, such as images, text, music, or code, in response to user prompts.

Will Agentic AI be the new trend in Generative AI?

Agentic AI is a type of AI that can make decisions and take actions independently to achieve goals. Compared to traditional AI models, Agentic AI can make employees more productive and automate multi-step processes.

How will the Agentic AI testing system shape the future of the testing process?

Agentic AI testing systems will upscale the QA process by automating complex tasks, improving accuracy, and enhancing efficiency. These systems can autonomously generate test cases, detect real-time issues, and adapt to dynamic software environments.

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