Generative AI - notes

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Pages Topic Covered 1 Cover & Full Table of Contents 2–3. What is Generative AI? + Why it matters + Automation examples 4. History & Timeline (1950 → 2024)—every major milestone 5–6 Probability foundations, Latent Space, KL Divergence 7–8 A utoencoders, VAE—formulas + reparameterization solved example 9–10 GANs—minimax loss, variants table, solved discriminator/generator 11–12 Transformer architecture—self-attention formula, solved attention example 13–14 LLMs—GPT/BERT/ Claude table, temperature solved example, tokenization 15–16 Prompt Engineering—Zero-shot, Few-shot, Chain-of-Thought, solved examples 17–18 Diffusion Models—forward process formula, solved example, CLIP, Stable Diffusion 19–20 Fine-Tuning, LoRA math + solved parameter comparison, RLHF explained 21–22, RAG pipeline—cosine similarity solved example, embeddings explained 23–24 Multimodal AI—task types, cross-modal attention, 4 real automation examples 25–265 complete Gen AI automation workflows and tools reference 27–28. Evaluation metrics—BLEU solved example, FID, perplexity, benchmarks table 29 ethics, hallucinations—causes, examples, fixes 3030-term Glossary + Quick Formula Reference strip

Every page has color-coded boxes: 🟢 Definitions, 🟣 Formulas, 🟡 Solved Examples, 🔵 Quick Notes, 🟠 Exam Tips, and 🩵 Automation Examples!