Etken AI (Agentic AI) has recently seen not only in the production of data, but also with its capabilities to achieve goals. The world of artificial intelligence with these striking details is growing rapidly. So, what is the key AI? What are the differences with artificial intelligence (Generative AI) when producing? Let’s examine these two important concepts together.
What is Agentic AI?
Etken artificial intelligence is called artificial intelligence systems that can make self-determining and can move by contacting factors in the environment.
Agentic AI Features
- Environmental detection: The basic feature that collects data in the environment. Artificial intelligence is the most important step in deciding what to do.
- Decision making: It is the universe to make the most appropriate plan in the light of collected data and be ready to take action.
- Movement: It takes place after the detection and decision-making phase and moves in accordance with the plan. For example, like the process that moves the robot.
- Objective goal: As a result of the plan, it is the universe to achieve the desired goal. Objectives can be fixed and variable.
- Autonomous: Without a physical human intervention, it can only work through robots or artificial intelligence.
- Continuity: Artificial intelligence can often work 24/7 without interruption. They have quick action ability.
What is AI (Generative AI) when producing?
Artificial intelligenceAI system that can create new and personal content. By analyzing the data entered into the system, it produces new and original outputs as a result of the program through the steps learned. Most of them are trained with deep learning and language models and continue their work with the data you learn.
What Are the Differences Between Agentic AI and Generative AI?
- The aim in artificial intelligence is to achieve goals and to plan in this way. When producing artificial intelligence, the purpose is to produce data.
- Agentic AI, while planning tasks alone; Generative AI produces content such as images, music.
The most important example of Agentic AI is when OpenAI GPTs; the most important example of Generative AI ChatGPTis.Etken artificial intelligence creates new outputs with data obtained by productive artificial intelligence, thinking and moving for tasks.Agentic AI has memory for short and long term; in Generative AI there is no possibility or short term.Creativity in AI is more, freedom is less. In Etken AI, creativity is in certain limits.As a result, these two artificial intelligence systems are two separate technologies with different purposes and functions. Both artificial intelligence technologies make significant studies in this field and complement each other. We will always see how these two systems will develop in the future.
Etken AI (Agentic AI) has recently seen not only in the production of data, but also with its capabilities to achieve goals. The world of artificial intelligence with these striking details is growing rapidly. So, what is the key AI? What are the differences with artificial intelligence (Generative AI) when producing? Let’s examine these two important concepts together. What is Agentic AI? Etken artificial intelligence is called artificial intelligence systems that can make self-determining and can move by contacting factors in the environment. Agentic AI Features Environmental detection: The basic feature that collects data in the environment. Artificial intelligence is the most important step in deciding what to do. Decision making: It is the universe to make the most appropriate plan in the light of collected data and be ready to take action. Movement: It takes place after the detection and decision-making phase and moves in accordance with the plan. For example, like the process that moves the robot. Objective goal: As a result of the plan, it is the universe to achieve the desired goal. Objectives can be fixed and variable. Autonomous: Without a physical human intervention, it can only work through robots or artificial intelligence. Continuity: Artificial intelligence can often work 24/7 without interruption. They have quick action ability. What is AI (Generative AI) when producing? Artificial intelligence AI system that can create new and personal content. By analyzing the data entered into the system, it produces new and original outputs as a result of the program through the steps learned. Most of them are trained with deep learning and language models and continue their work with the data you learn. What Are the Differences Between Agentic AI and Generative AI? The aim in artificial intelligence is to achieve goals and to plan in this way. When producing artificial intelligence, the purpose is to produce data. Agentic AI, while planning tasks alone; Generative AI produces content such as images, music. The most important example of Agentic AI is when OpenAI GPTs; the most important example of Generative AI ChatGPT is. Etken artificial intelligence creates new outputs with data obtained by productive artificial intelligence, thinking and moving for tasks. Agentic AI has memory for short and long term; in Generative AI there is no possibility or short term. Creativity in AI is more, freedom is less. In Etken AI, creativity is in certain limits. As a result, these two artificial intelligence systems are two separate technologies with different purposes and functions. Both artificial intelligence technologies make significant studies in this field and complement each other. We will always see how these two systems will develop in the future.
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