Understand the fundamental concepts of AI - from basic artificial intelligence to advanced multi-agent systems and the future of AGI. Each concept builds on the previous one.
The broadest concept - any machine that mimics human intelligence
Systems that learn from data
Neural networks with many layers
AI that creates content (LLMs, image generators, etc.)
AI that takes autonomous actions to achieve goals
Multiple AI agents collaborating together
Human-level intelligence across all domains - doesn't exist yet!
Click through each concept to see definitions, examples, and interactive demonstrations. Start with AI and work your way through to AGI.
The broadest concept: machines that can perform tasks that typically require human intelligence.
AI is any technique that enables computers to mimic human behavior. It's the umbrella term for everything from simple rule-based systems to advanced learning algorithms.
Clinical Decision Support
Rule-based alerts for abnormal lab values
Patient Triage Systems
Prioritize ER patients by severity
Medication Dispensing
Automated pharmacy dispensing robots
Appointment Scheduling
Route patients to appropriate specialists
IF Heart Rate > 90 bpm AND Temp > 38°C
THEN Flag for Sepsis Review
IF Blood Pressure < 90/60 mmHg
THEN Alert ICU Team
IF All vitals within normal range
THEN Continue Monitoring
→ Simple rules, no learning involved
Key Takeaway:
AI is the goal: making machines intelligent. Everything else is a technique to achieve it.
Now that you understand the fundamentals, explore how Large Language Models work - one of the most powerful applications of deep learning and generative AI.
Learn About LLMs1/3 sections visited