📘 AI & ML System Design Notes

A curated collection of notes and references for Machine Learning System Design and Generative AI System Design.
These notes cover practical case studies and real-world applications, useful for interviews and system-level understanding.

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📂 Machine Learning System Design

Core Foundations + Classic ML System Design

1. Foundations & Overview — pipeline, features, evaluation, deployment
2. Image-Based Product Search — search + embeddings
3. Street View Privacy Blurring — detection + privacy-preserving AI
4. Harmful / Unsafe Content Detection — moderation, classification at scale
5. Personalized Video Recommendations — recsys fundamentals, ranking
6. Personalized News Feed Ranking — classic ranking + personalization

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Well-known real-world ML use cases

7. Video Content Search (YouTube) — search + indexing at scale
8. Predicting Ad Clicks on Social Platforms — CTR prediction, ads ranking
9. Event & Activity Suggestions — recommendations variation
10. Friend / Connection Suggestions — social graph + similarity
11. Similar Rental Listings Discovery — clustering, similarity search

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🤖 Generative AI System Design

12. Introduction to Generative AI — transformers, LLM basics
13. Conversational Assistant (ChatGPT) — LLM system design
14. Knowledge-Augmented Text Generation (RAG) — retrieval + generation
15. AI-Powered Language Translation — encoder-decoder, seq2seq, transformers
16. Smart Email Autocomplete (Gmail) — predictive text, language modeling

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Advanced Generative AI applications

17. Automated Image Captioning — vision + language
18. Text → Image Generation — diffusion models (e.g., Stable Diffusion)
19. Text → Video Generation — very advanced, mention if asked
20. Realistic Human Face Synthesis — GANs, diffusion, ethics
21. High-Resolution Image Generation — super-resolution, GANs
22. Personalized AI Headshots — applied diffusion, personalization

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✍️ Maintained as part of a personal AI/ML learning journey.