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Classroom Contents
30 AI Buzzwords Explained For Entrepreneurs
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- 1 Introduction - 0:00
- 2 1 LLM - 0:14
- 3 2 Prompt - 1:05
- 4 3 Prompt Engineering - 1:39
- 5 4 Few-shot Prompting - 2:36
- 6 5 Context Window- 3:03
- 7 6 Token - 4:10
- 8 7 Inference - 5:42
- 9 8 Parameter - 6:27
- 10 9 Temperature - 7:08
- 11 10 Prompt Injection - 7:52
- 12 11 Guardrails - 9:23
- 13 12 Hallucination - 9:55
- 14 13 RAG - 10:16
- 15 14 Semantic Search - 10:57
- 16 15 Embeddings - 11:43
- 17 16 Chunk - 12:25
- 18 17 Vector Database - 13:11
- 19 18 AI Agents - 13:50
- 20 19 Agentic AI - 14:10
- 21 20 Function Calling - 15:06
- 22 21 MCP - 15:48
- 23 22 Fine-tuning - 16:33
- 24 23 Distillation - 17:30
- 25 24 Reinforcement Learning - 17:52
- 26 25 RLHF - 18:28
- 27 26 Reasoning Models - 18:57
- 28 27 Test-time Compute - 19:40
- 29 28 Train-time Compute - 20:37
- 30 29 Pre-training - 21:16
- 31 30 Post-training - 21:39
