Generative AI From First Principles
By datasciencebrain
Free
By datasciencebrain
Free
Stop using AI like a black box.
Learn how modern AI actually works - from the mathematical foundations to building real-world Generative AI systems.
This book is a practical, beginner-friendly yet technically deep guide designed for developers, engineers, students, and curious builders who want to truly understand modern AI instead of just calling APIs.
Inside this guide, you’ll learn:
✓ How machine learning actually learns from data
✓ Neural networks built completely from scratch
✓ Backpropagation, gradient descent, and optimization explained visually
✓ Tokenization, embeddings, and how language becomes numbers
✓ Attention mechanisms and Transformers from first principles
✓ How GPT-style models work internally
✓ Fine-tuning, LoRA, RLHF, and modern LLM training workflows
✓ RAG pipelines, evaluation systems, and AI application architecture
✓ Production AI engineering concepts used in real-world systems
✓ Practical Python implementations throughout the book
This is not another shallow “AI overview” ebook.
You’ll build intuition step-by-step while also learning the engineering concepts behind today’s most powerful AI systems.
Unlike most AI content online that skips straight to frameworks and APIs, this guide focuses on deep understanding first - so you can confidently build, debug, and improve AI systems yourself.
The book combines:
Whether you want to become an AI engineer, build GenAI products, or simply understand how systems like ChatGPT actually work - this guide gives you the foundations to do it properly.
🚨ACCESS THE 6 PART GUIDE IN ZIP FILE 👇