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30 AI Buzzwords Explained in 30 Minutes for Busy Leaders

Shaw Talebi via YouTube

Overview

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Learn essential artificial intelligence terminology through this comprehensive video tutorial that demystifies 30 critical AI buzzwords in plain English for business leaders. Master fundamental concepts including Large Language Models (LLMs), parameters, inference, and prompt engineering while exploring advanced topics like Retrieval-Augmented Generation (RAG), vector databases, AI agents, and multi-agent systems. Discover key technical concepts such as tokens, context windows, embedding vectors, semantic search, and hybrid search methodologies. Understand important AI safety and performance concepts including guardrails, hallucinations, prompt injection, evaluations, and golden datasets. Explore cutting-edge developments in fine-tuning, Small Language Models (SLMs), train-time and test-time compute, reasoning models, and emerging technologies like Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. Navigate through timestamped sections covering each term with practical explanations, real-world applications, and business implications to help leaders make informed AI decisions and better understand the rapidly evolving artificial intelligence landscape.

Syllabus

Introduction -
1 LLM -
2 Parameter -
3 Inference -
4 Prompt -
5 Prompt Engineering -
6 System Message -
7 Token -
8 Context Window -
9 Context Engineering -
10 Prompt Injection -
11 Guardrails -
12 Hallucination -
13 RAG -
14 Chunking -
15 Embedding Vector -
16 Semantic Search -
17 Vector Database -
18 Hybrid Search -
19 Evals -
20 Golden Dataset -
21 AI Agent -
22 Agentic AI -
23 MCP -
24 A2A -
25 Multi-agent System -
26 Fine-tuning -
27 SLM -
28 Train-time Compute -
29 Test-time Compute -
30 Reasoning Models -
100 AI Terms Guide -

Taught by

Shaw Talebi

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