AI Tutorials

6 tutorialstagged with “AI”

How Embedding Models Are Trained

Deep-dive into embedding models — from one-hot encoding to contrastive learning, why "king − man + woman = queen" works geometrically, Matryoshka embeddings, math foundations, and production applications in RAG and semantic search with interactive demos.

50 min readIntermediate

Interactive

AI Prompt Engineering LLM

Prompt Engineering — Real Life Use Cases

Master prompt engineering from first principles. Interactive guide covering prompt anatomy, types, chain-of-thought, temperature tuning, and a live AI playground.

35 min readIntermediate

Interactive

AI Transformers LLM

Transformer Explainer: How LLMs Work

A visual, step-by-step walkthrough of the Transformer architecture — from tokenization to next-token prediction. See attention heads, embeddings, and MLPs in action.

25 min readIntermediate

Interactive

AI LLM Performance Infrastructure

KV Cache Explained

Understand how KV caching makes LLM inference fast and cheap — transformer attention mechanics, prompt prefix caching, Anthropic vs OpenAI implementations, PagedAttention, and GPU memory optimization with interactive demos.

35 min readIntermediate

Interactive

AI Security LLM Prompt Engineering

How Prompt Injection Attacks Work

Understand prompt injection from trust boundaries to real CVEs — direct injection, indirect multi-hop attacks, hidden content techniques, real-world examples, and defense-in-depth strategies with interactive demos.

35 min readIntermediate

Interactive

AI Agents Memory RAG

How AI Agent Memory Works

Deep-dive into AI agent memory — why stateless agents fail, the four memory types, conversation strategies, Mem0 internals, and conflict resolution with interactive demos.

45 min readIntermediate