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Vizuara: A Complete Visual Guide to Mastering Modern AI and LLMs

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

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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.

Ready to learn visually?

Get the full 400+ page book as a downloadable PDF.