AI — Types
By Capability
| Type | Description | Status |
|---|---|---|
| Narrow AI | Specific tasks | Current |
| General AI | Human-level | Theoretical |
| Super AI | Beyond human | Theoretical |
By Functionality
| Type | Description |
|---|---|
| Reactive Machines | No memory |
| Limited Memory | Short-term memory |
| Theory of Mind | Understands emotions |
| Self-Aware | Conscious |
Current AI
# Narrow AI examples
import tensorflow as tf
# Image classification
model = tf.keras.applications.MobileNetV2()
# Natural language processing
from transformers import pipeline
nlp = pipeline("sentiment-analysis")
Mini Practice
- Understand AI types
- Learn about Narrow AI
- Explore General AI concepts
- Study Super AI theories
Up Next
Continue with Agents — AI agents.
Related Topics
Frequently Asked Questions about Types
What is Types in AI?
Types is a fundamental concept in AI. This lesson explains it step by step with clear examples, making it easy for beginners to understand.
How do I learn Types?
Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Types.
Why is Types important in AI?
Types is essential for AI development. Understanding this concept will help you write better code and solve real-world problems more effectively.