AI Tutorials
Generative AI
Master generative AI from first principles — covering model families, transformers, LLM training, fine-tuning, prompt engineering, RAG, multimodal AI, evaluation, and guardrails with production-ready code.
13 chapters · 375 min
From diffusion models to LLMs, RAG, and responsible deployment
- Ch. 01Read →
Different Generative Models
A taxonomy of generative AI: GANs, VAEs, diffusion models, and autoregressive transformers
beginner · 20 min
- Ch. 02Read →
Transformer Architecture
Self-attention, positional encoding, and the building blocks powering modern AI
intermediate · 30 min
- Ch. 03Read →
Large Language Models
How LLMs are trained, what emerges at scale, and how to use them effectively
intermediate · 25 min
- Ch. 04Read →
Fine-Tuning & Adaptation
LoRA, QLoRA, and parameter-efficient techniques for specializing LLMs
intermediate · 25 min
- Ch. 05Read →
Prompt Engineering
Systematic techniques to guide LLMs toward better outputs
beginner · 25 min
- Ch. 06Read →
Retrieval-Augmented Generation (RAG)
Grounding LLM responses in external knowledge with vector search and retrieval
intermediate · 30 min
- Ch. 07Read →
Multimodal Concepts
Vision, audio, and unified models that understand and generate across modalities
intermediate · 25 min
- Ch. 08Read →
Responsible AI & Governance
Bias, fairness, transparency, and the frameworks governing AI deployment
beginner · 25 min
- Ch. 09Read →
Key Evaluation Metrics
Measuring LLM performance across reasoning, generation quality, and task-specific benchmarks
intermediate · 25 min
- Ch. 10Read →
Guardrails
Building safety, quality, and compliance controls into production AI systems
intermediate · 25 min
- Ch. 11Read →
Diffusion Models Deep Dive
DDPM math, DDIM sampling, classifier-free guidance, and LoRA for image generation
advanced · 42 min
- Ch. 12Read →
Multimodal AI
CLIP, DALL-E 3, Gemini, GPT-4V, and image-text retrieval — the dominant direction of frontier AI
intermediate · 38 min
- Ch. 13Read →
LLM Alignment & RLHF
PPO from human feedback, DPO, Constitutional AI, and reward modeling — why modern LLMs behave as they do
advanced · 40 min