30 AI Engineering Terms Explained (in Plain English)

From the creator

🀝 Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: https://aibuilder.academy/yt/rTkm1eY0ezU πŸ“„ Get the (free) 100 AI Terms Guide: https://100aiterms.com/ Here I review the most common AI buzzwords used these days and explain them in simple terms. Intro - 0:00 1) Large Language Model (LLM) - 0:08 2) Prompt - 0:42 3) Prompt Engineering- 1:13 4) Context Window - 2:04 5) Context Engineering - 3:25 6) Token - 3:59 7) Inference - 5:30 8) Parameter - 6:00 9) Prompt Injection - 6:52 10) Guardrails - 8:00 11) Hallucination - 8:45 12) Evals - 9:10 13) RAG - 10:11 14) Semantic Search - 10:42 15) Embedding - 12:03 16) Chunk - 13:10 17) Vector Database - 14:33 18) AI Agent - 15:01 19) Agentic AI - 15:18 20) Agentic RAG - 16:13 21) Model Context Protocol (MCP) - 16:47 22) Agent2Agent (A2A) - 18:11 23) Multi-agent System - 18:47 24) Multimodal AI - 19:36 25) Reasoning Models - 20:10 26) Fine-tuning - 20:43 27) Distillation - 21:45 28) Foundation Model - 22:04 29) Train-time Compute - 22:33 30) Train-time Compute - 22:58

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AI Maker Residence 3

The third AI workshop taught by our legendary teacher, Nick Sarafa. This is a full-day hands-on training workshop for purposeful co-creation with AI using Claude Code. Imagine having access to hundreds of billions of dollars of computing power and knowing exactly how to make it work for you through the power of super intelligence.

β—† Fri 09 Oct 2026 β—† KOKO Cafe, London β—† With Nick Sarafa
AI Maker Residence 3
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AI Maker Residence 3
Fri 09 Oct 2026

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