30 AI Buzzwords Explained in 30 min (for Busy Leaders)

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/5R8flBwcE5w πŸ“„ Get the (free) 100 AI Terms Guide: https://100aiterms.com/ AI is forcing businesses to rethink how they work. However, navigating the technical jargon and jagged edges of the technology is a challenge. Here, I explain 30 key AI terms in plain English to help leaders make better AI decisions. πŸ“° Read more: https://shawhin.medium.com/30-ai-buzzwords-explained-in-plain-english-65190ab0a6f5?source=friends_link&sk=0a78b1a3727d739929ed20e87960440c References [1] arXiv:2001.08361 [cs.LG] [2] https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/ [3] https://llm-stats.com/models/compare. [4] https://youtu.be/Q2HxSfS6ADo [5] https://github.com/jujumilk3/leaked-system-prompts [6] https://youtu.be/czvVibB2lRA?si= [7] https://tiktokenizer.vercel.app/?model=meta-llama%2FMeta-Llama-3-70B [8] https://research.trychroma.com/context-rot [9] https://genai.owasp.org/llmrisk/llm01-prompt-injection/ [10] https://youtu.be/Ylz779Op9Pw [11] https://youtu.be/sNa_uiqSlJo [12] https://youtu.be/-sL7QzDFW-4 [13] https://youtu.be/982V2ituTdc [14] https://youtu.be/2peE6mwoiXs [15] https://www.youtube.com/playlist?list=PLz-ep5RbHosU02OKABBkbsQrYWmQfoZMH [16] https://youtu.be/N3vHJcHBS-w [17] https://developers.googleblog.com/en/a2a-a-new-era-of-agent-interoperability/ [18] https://www.anthropic.com/engineering/multi-agent-research-system [19] arXiv:2203.02155 [cs.CL] [20] https://www.businessinsider.com/att-open-source-ai-better-than-chatgpt-customer-service-calls-2025-5 [21] https://youtu.be/RveLjcNl0ds Introduction - 0:00 1) LLM - 0:22 2) Parameter - 1:07 3) Inference - 2:10 4) Prompt - 3:01 5) Prompt Engineering - 3:33 6) System Message - 4:55 7) Token - 5:53 8) Context Window - 7:14 9) Context Engineering - 8:54 10) Prompt Injection - 9:39 11) Guardrails - 11:03 12) Hallucination - 11:40 13) RAG - 12:22 14) Chunking - 13:12 15) Embedding Vector - 13:45 16) Semantic Search - 14:52 17) Vector Database - 15:35 18) Hybrid Search - 16:25 19) Evals - 17:27 20) Golden Dataset - 18:36 21) AI Agent - 19:22 22) Agentic AI - 19:55 23) MCP - 21:30 24) A2A - 22:38 25) Multi-agent System - 23:22 26) Fine-tuning - 24:07 27) SLM - 25:27 28) Train-time Compute - 26:34 29) Test-time Compute - 27:39 30) Reasoning Models - 28:35 100 AI Terms Guide - 29:30

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026
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