Скачать или смотреть 11 AI Terms You Should Know in 2026!

What you'll understand by the end:

✓ Large Language Models (LLM) - what ChatGPT actually is
✓ Base vs Instruct-Tuned Models - why some AIs follow instructions better
✓ Prompt Engineering - how to get better results from AI
✓ Hallucinations - when AI makes things up (and how to spot it)
✓ RAG - how AI accesses real-time information
✓ Fine-Tuning - customizing AI for specific tasks
✓ Embeddings & Vector Databases - how AI understands meaning
✓ RLHF - the secret behind ChatGPT's helpfulness
✓ AI Agents - autonomous AI that takes action
✓ Mixture of Experts (MoE) - why some AI models are faster
✓ AGI - the future everyone's talking about

Stop feeling lost when people talk about AI. This video breaks down 11 essential AI concepts in plain English - no PhD required.

Chapters:
00:00 Introduction
00:31 What Are Large Language Models (LLMs)?
1:26 Instruct-Tuned Models
2:14 Prompt Engineering
2:44 Hallucination
3:27 RAG (Retrieval-Augmented Generation)?
4:28 Fine-Tuning
5:14 Embeddings & Vector Databases
6:13 RLHF (Reinforcement Learning from Human Feedback)
7:07 AI Agents
7:55 Mixture of Experts (MoE) Models
8:36 Artificial General Intelligence
9:07 Conclusion

Which term confused you the most? Drop a comment below!

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