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HomeHomework Helpartificial-intelligenceAgentic AI

Agentic AI

A type of artificial intelligence that enables systems to exhibit autonomous behavior, make decisions, and achieve objectives through planning, reasoning, and learning, often utilizing machine learning and large language models to drive their decision-making processes

intermediate
3 hours
Artificial Intelligence
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Overview

Agentic AI represents a significant advancement in artificial intelligence, allowing systems to operate independently and make decisions based on their environment. This capability is achieved through learning algorithms that enable the AI to adapt and improve over time. As these systems become more...

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Key Terms

Autonomy
The ability of a system to operate independently without human intervention.

Example: Self-driving cars are an example of autonomous systems.

Machine Learning
A subset of AI that enables systems to learn from data and improve over time.

Example: Spam filters use machine learning to identify unwanted emails.

Reinforcement Learning
A type of machine learning where an agent learns to make decisions by receiving rewards or penalties.

Example: A robot learning to navigate a maze through trial and error.

Feedback Loop
A process where the output of a system is used as input for future actions.

Example: A recommendation system adjusting suggestions based on user feedback.

Ethics
The moral principles that govern a person's or group's behavior.

Example: Ethical considerations in AI include privacy and bias.

Decision-Making
The process of making choices by identifying a decision, gathering information, and assessing alternatives.

Example: AI systems can analyze data to make informed decisions.

Related Topics

Machine Learning
The study of algorithms that allow computers to learn from and make predictions based on data.
intermediate
Robotics
The branch of technology that deals with the design, construction, and operation of robots.
advanced
Natural Language Processing
A field of AI that focuses on the interaction between computers and humans through natural language.
intermediate

Key Concepts

AutonomyDecision-MakingLearningAdaptability