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Core AI Algorithms Cheat Sheet: From Classical ML to Foundation Models & Vector Search
A production-tested reference guide distilling the 27 most essential algorithms used in modern AI engineering: covering classical supervised learning, gradient-boosted trees, clustering and vector search (HNSW), deep architectures and optimizers (AdamW), and LLM alignment (DPO, PPO).
LLM & AI Agent Technical Concepts Master Cheat Sheet
A comprehensive reference taxonomy of modern Large Language Models (LLMs) and Autonomous AI Agents across 8 technical tiers: Foundations, Model Architecture, Intelligence, Knowledge Augmentation, Agent Core, Engineering, Governance, and Applications, featuring deep dives on RoPE, Tool vs Skill, and MCP vs A2A.