LGTM · Learn
AI/ML concepts, explained visually.
Interactive explainers for technical leaders. No jargon walls — just the clarity your team needs to make architecture decisions with confidence.
Start here
Tokenization
Why your LLM sees 'ChatGPT' as 3 tokens, not 1 word
Attention
Why your inference costs scale quadratically
RAG
Retrieval-Augmented Generation: when and how
Agent Architecture
ReAct loops, tool use, and memory
All concepts
How LLMs Work
5Architecture Decisions
4Learning Paths
CTO's 20-Minute AI Primer
The minimum viable understanding for making architecture decisions. Covers how LLMs work, why they cost what they cost, and the production patterns that matter.
Understanding LLM Costs
Why your AI bill is what it is — and how to cut it by 80%. From token math to inference optimization, every lever that controls spend.
AI Architecture for Engineers
The complete technical path from embeddings to production agents. Build the mental model for designing LLM-powered systems.
12
Concepts
3
Streams
12
Interactive
By Saheb Singh · LGTM