20 AI Concepts Explained in 40 Minutes

Engineers need to communicate effectively when building AI Systems.

These terms will help you use a shared vocabulary. This is useful when discussing concepts, reading papers, or collaborating with teammates.

Listed in order.
00:00 Agenda
00:28 1. Large Language Model
01:28 2. Tokenization
02:53 3. Vectorization
04:15 4. Attention
07:22 5. Self-Supervised Learning
12:07 6. Transformer
14:32 7. Fine-tuning
17:05 8. Few-shot Prompting
18:11 9. Retrieval Augmented Generation
20:33 10. Vector Database
23:03 11. Model Context Protocol
25:43 12. Context Engineering
28:17 13. Agents
29:19 14. Reinforcement Learning
34:42 15. Chain of Thought
35:55 16. Reasoning Models
36:36 17. Multi-modal Models
38:21 18. Small Language Models
40:24 19. Distillation
41:47 20. Quantization

If you are a software engineer looking to transition to AI, click the link below.
AI Engineering Course: https://interviewready.io/course-page/ai-engineering

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