30 AI Buzzwords Explained (in 22 Minutes)

Shaw Talebi ยท Beginner ยทโœ๏ธ Prompt Engineering ยท11mo ago
๐Ÿ“„ Get the (free) 100 AI Terms Guide: https://100aiterms.com/ ๐Ÿค Work with me: https://aibuilder.academy/yt/nPQkBGf55YA It's easy to get lost in a swamp of AI buzzwords and technical jargon. In this video, I explain the most essential terms entrepreneurs need to know without the confusion. ๐Ÿ“ฐ Read more: https://medium.com/the-data-entrepreneurs/30-ai-buzzwords-explained-for-entrepreneurs-41d011d6ca87?sk=7c38b63b754749f9fa75e371861acfcf References [1] https://youtu.be/tFHeUSJAYbE [2] https://youtu.be/0cf7vzM_dZ0 [3] https://genai.owasp.org/llmrisk/llm01-prompt-injection/ [4] https://youtu.be/Ylz779Op9Pw [5] https://youtu.be/sNa_uiqSlJo [6] https://youtu.be/ZaY5_ScmiFE [7] https://platform.openai.com/docs/guides/function-calling [8] https://youtu.be/N3vHJcHBS-w [9] https://youtu.be/eC6Hd1hFvos [10] https://youtu.be/FLkUOkeMd5M [11] arXiv:2203.02155 [cs.CL] [12] https://youtu.be/RveLjcNl0ds [13] https://openai.com/index/learning-to-reason-with-llms/ [14] https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/ [15] https://llm-stats.com/models/compare [16] https://github.com/FonduAI/awesome-prompt-injection [17] https://modelcontextprotocol.io/introduction Introduction - 0:00 1) LLM - 0:14 2) Prompt - 1:05 3) Prompt Engineering - 1:39 4) Few-shot Prompting - 2:36 5) Context Window- 3:03 6) Token - 4:10 7) Inference - 5:42 8) Parameter - 6:27 9) Temperature - 7:08 10) Prompt Injection - 7:52 11) Guardrails - 9:23 12) Hallucination - 9:55 13) RAG - 10:16 14) Semantic Search - 10:57 15) Embeddings - 11:43 16) Chunk - 12:25 17) Vector Database - 13:11 18) AI Agents - 13:50 19) Agentic AI - 14:10 20) Function Calling - 15:06 21) MCP - 15:48 22) Fine-tuning - 16:33 23) Distillation - 17:30 24) Reinforcement Learning - 17:52 25) RLHF - 18:28 26) Reasoning Models - 18:57 27) Test-time Compute - 19:40 28) Train-time Compute - 20:37 29) Pre-training - 21:16 30) Post-training - 21:39
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 5 The Wavelet Transform | Introduction & Example Code
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