Infrastructure
The AI Technology Stack
The infrastructure powering AI: From chips to clouds to models
InfrastructureStack
AI Terminology: Essential Concepts
Master AI terminology from machine learning to neural networks. Understand supervised vs. unsupervised learning, deep learning architectures, and foundation models.
Fundamentals
AI vs Automation
Understanding the critical difference between rule-based automation and adaptive intelligence
DistinctionConcepts
Fundamentals
The Data Behind AI
How data quality, quantity, and provenance determine AI system behavior
DataTraining
Modern AI
Foundation Models
Massive pre-trained models that power modern AI applications
FoundationScale
Emerging
Multimodal AI
AI systems that understand and generate across text, images, audio, and video
MultimodalIntegration
Resources
AI Compute Requirements
The massive computational resources required to train and run modern AI systems
ComputeCost
Sustainability
Environmental Cost of AI
Understanding the energy consumption and carbon footprint of AI development
EnvironmentEnergy
Challenges
The Black Box Problem
Why AI explainability matters: Understanding opaque decision-making systems
ExplainabilityXAI