0
0
Agentic AIml~12 mins

What is an AI agent in Agentic AI - Model Architecture Explained

Choose your learning style9 modes available
Model Pipeline - What is an AI agent

An AI agent is a computer program that senses its environment, thinks about what it senses, and acts to achieve a goal. It works like a smart helper that learns and makes decisions step-by-step.

Data Flow - 4 Stages
1Environment Input
Variable sensory dataAgent receives data from surroundings (like images, sounds, or numbers)Processed sensory data (e.g., vector of numbers)
Camera image of a room converted to pixel values
2Perception and Understanding
Processed sensory dataAgent interprets input to understand the situationInternal state representation (e.g., features or beliefs)
Detecting objects and their positions in the room
3Decision Making
Internal state representationAgent decides what action to take to reach its goalChosen action command
Deciding to move forward or pick up an object
4Action Execution
Chosen action commandAgent performs the action in the environmentChanged environment state
Robot moves forward 1 step
Training Trace - Epoch by Epoch
Loss: 0.8 |****    
Loss: 0.6 |******  
Loss: 0.4 |********
Loss: 0.3 |*********
Loss: 0.2 |**********
EpochLoss ↓Accuracy ↑Observation
10.80.3Agent starts learning basic actions with low accuracy
20.60.5Agent improves understanding and action choices
30.40.7Agent learns to make better decisions
40.30.8Agent actions become more accurate and goal-oriented
50.20.9Agent reliably performs tasks with high accuracy
Prediction Trace - 4 Layers
Layer 1: Sense Environment
Layer 2: Perceive and Understand
Layer 3: Decide Action
Layer 4: Execute Action
Model Quiz - 3 Questions
Test your understanding
What is the first thing an AI agent does in its pipeline?
ASense the environment
BMake a decision
CExecute an action
DTrain the model
Key Insight
An AI agent works by continuously sensing its environment, understanding what it senses, deciding on the best action, and then acting. Training helps the agent improve these steps so it can reach its goals more accurately over time.