A new type of artificial intelligence, known as agentic AI, can operate independently with minimal human assistance. Understanding Agentic AI and Intelligent AI Agents. Agentic AI makes use of intelligent programs (referred to as agents) that are capable of thought, learning, and decision-making, in contrast to traditional AI, which obeys predetermined rules. These agents make technology more human-like, quicker, and more efficient.
What does the term “AI agent” mean?
A clever computer software that employs artificial intelligence to assist humans in completing tasks is called an AI agent. Like a human, it is capable of thought, planning, memory, and decision-making.
They improve with time as they gain knowledge. Understanding Agentic AI and Intelligent AI Agents. They can comprehend computer code as well as voice, video, and text. These agents can collaborate to manage large or complex tasks, communicate with others, and solve problems.
What is an example of an AI agent?
Ordering, monitoring delivery, and product recommendations all make buying easier.
Assisting vendors by enhancing product listings on websites such as Amazon. Understanding Agentic AI and Intelligent AI Agents
Refunds and automated password resets are examples of support-related tasks.
Getting clients: locating the best leads more quickly.
Example of Agentic AI
Agentic AI is an intelligent system that can manage and complete complex tasks when paired with other AI technologies. Understanding Agentic AI and Intelligent AI Agents. For example, it can select the images, compose the text, conduct the research, and create the layout on its own if you ask it to create a multimedia report.
Additionally, technology makes information retrieval easier, as demonstrated by chatbots that can answer questions or direct users to a human when needed.
It can identify security threats and take action without requiring human intervention.
It can automatically change suppliers, prices, and routes when supply chains are disrupted.
Contact centers also benefit from their ability to understand customer needs and offer quick, intelligent support.
What is an autonomous AI agent?
An autonomous agent is a system that can act independently without requiring external control. When given a goal, one can create and complete tasks independently until the goal is achieved. Most autonomous agents today use AI, but not all of them do. Some follow pre-set rules to make decisions and take action without needing human help all the time, and understand agentic AI and intelligent AI agents. Example: A home thermostat is an autonomous agent. It adjusts the temperature automatically based on your settings and a temperature sensor. It doesn’t use AI or machine learning—it just follows simple rules.
What is the policy of an AI agent?
A policy in AI is a set of instructions that tells an AI what to do in different situations.
For example, if a robot sees something in its way, the policy tells it to stop or turn.
There are two types:
Rule-based: Follows fixed rules, like “If hot, turn on fan.”
Learned: The AI learns what to do by trying and learning from mistakes.
A policy enables the AI to work independently and perform tasks such as driving, playing games, or answering questions.
What is an AI Agent LLM?
Large language models (LLMs) are no longer just chatbots—they are now becoming smart agents that can do tasks on their own and adjust their actions based on what’s happening around them.
These new AI agents can now utilize tools, such as searching the internet or solving math problems. They can even check and fix their work after getting a prompt from the user.
Maya Murad from IBM Research stated that these agents are moving beyond chat and assisting people with more complex tasks, which is transforming how we interact with technology.
By themselves, LLMs aren’t great at math or logic. However, when connected to tools and apps, they can be enhanced. They now know how to pick the right tools, review their own output, and adjust their behavior—key features of the new generation of LLM-based AI agents.
What is an agentic AI system?
Intelligent technology that can complete tasks without much assistance from humans is known as agentic AI. AI agents—programs that make choices like humans—are used in it.
To accomplish more complex tasks, these bots collaborate. Agentic AI differs from traditional AI in that it can act independently, adapt, and set its own goals.
Its foundation is generative AI, which creates code, text, and graphics. However, agentic AI takes it one step further and utilizes its creations to perform tasks.
conclusion
An intelligent and self-sufficient form of artificial intelligence, agentic AI utilizes AI agents to perform tasks with minimal human assistance. These agents are capable of learning, making decisions, and cooperating to resolve challenging issues, understanding Agentic AI and Intelligent AI Agents. Based on generative AI, agentic AI is beneficial for tasks such as customer service, research, automation, and decision-making across various sectors, as it cannot only produce content but also act upon it.
