
Vizuara: A Complete Visual Guide to AI
Master modern AI and LLMs through 200+ hand-crafted diagrams — from neural networks to production systems.
13
Chapters
73
Topics
200+
Diagrams
400+
Pages
Full Table of Contents
13 chapters covering the full modern AI stack
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Chapter 1
Build a Neural Network from Scratch
PerceptronsActivation FunctionsBackpropagationLoss FunctionsGradient DescentNeural Network from Scratch
Chapter 2
Convolutional Neural Networks
Convolution OperationPooling LayersCNN ArchitecturesFeature MapsImage Classification
Chapter 3
Recurrent Neural Networks & Sequence Models
RNNsLSTMsGRUsSequence-to-SequenceBidirectional RNNs
Chapter 4
The Transformer Architecture
Self-AttentionMulti-Head AttentionPositional EncodingEncoder-DecoderLayer Normalization
Chapter 5
Large Language Models
GPT ArchitectureTokenizationPre-trainingScaling LawsEmergent Abilities
Chapter 6
Training & Fine-Tuning LLMs
RLHFLoRAQLoRAInstruction TuningDPOSupervised Fine-Tuning
Chapter 7
Prompt Engineering & In-Context Learning
Zero-ShotFew-ShotChain-of-ThoughtReActPrompt Chaining
Chapter 8
Retrieval-Augmented Generation (RAG)
Vector DatabasesEmbedding ModelsChunking StrategiesHybrid SearchRAG Pipelines
Chapter 9
AI Agents & Tool Use
Agent ArchitecturesTool CallingPlanningMemory SystemsMulti-Agent Systems
Chapter 10
Diffusion Models & Image Generation
DenoisingDDPMStable DiffusionControlNetImage-to-Image
Chapter 11
Reinforcement Learning
MDPsQ-LearningPolicy GradientsPPORLHF Connection
Chapter 12
Multimodal AI
Vision-Language ModelsCLIPVisual Question AnsweringImage Captioning
Chapter 13
Deploying AI to Production
Model ServingQuantizationDistillationEdge DeploymentMonitoring
Sample Pages from Chapter 1
See how every concept is explained visually










Why This Book
Visual Learning
Every concept explained with hand-crafted diagrams — no walls of text.
From Scratch
Build up from perceptrons to production LLMs — no prerequisites assumed.
Cutting Edge
Covers the latest — Transformers, Diffusion Models, AI Agents, RAG, and more.
Reference Guide
400+ pages you can revisit anytime — a lasting resource for your AI journey.
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