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AI Engineering Cheatsheet

14 visual reference cards for LLMs, RAG and agents

25 pages of curated visuals to accelerate your AI engineering workflow

AI Engineering Cheatsheet open book mockup showing interior pages with visual references

What's Inside?

  • How LLMs generate text - Inference, sampling, quantization, and LoRA fine-tuning step by step
  • Embeddings and RAG - Bi-encoder, cross-encoder, ColBERT, HNSW vector search, chunking strategies and retrieval patterns
  • Agents and tools - 8 AI agent design patterns, architecture blueprints and workflows
  • The roadmap - Quick reference for your AI engineering journey

RAG Chunking

8+ strategies with visual diagrams: fixed-size, recursive, semantic, sliding window & more

LLM Patterns

Production-ready prompt engineering techniques and best practices

Agent Blueprints

Architecture diagrams and workflows for building AI agents

Peek Inside

Preview of AI Engineering Cheatsheet pages showing cover and sample content including RAG chunking strategies and LLM concepts

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