Foundations of Building Custom AI Models A Practical Guide to Understanding AI, LLM Architecture

Artificial Intelligence is no longer a distant dream; it's powering the tools we use every day. From chatbots and virtual assistants to advanced content generation systems, AI is reshaping industries worldwide.
But how do these models actually work, and how can you build one yourself?
Foundations of Building Custom AI Models booktakes you on a practical, step-by-step journey into the world of Large Language Models (LLMs). This book transforms complex concepts like neural networks, transformers, and tokenization into clear, hands-on lessons. You'll not only understand how AI learns, but you'll also build your own small-scale text generator from scratch.
What You'll Learn Inside:AI Fundamentals: Understand how Machine Learning, Deep Learning, and Generative AI differ, and where LLMs fit in.Neural Network Core: Explore layers, activations, and how transformers replaced RNNs and LSTMs.LLM Architecture Explained: Dive into GPT, BERT, T5, and LLaMA to understand how today's most powerful models are structured.Dataset Design & Tokenization: Learn to collect, clean, and prepare high-quality data for AI training.Hands-On Coding: Train a small GPT-style model using PyTorch and Hugging Face Transformers.Ethics & Responsible AI: Discover how to reduce bias, remove PII, and ensure your AI is transparent and fair.Mini Project - "MiniGPT": Build your first lightweight text generator and analyze its performance. Who This Book Is For:Beginners & Students who want a solid foundation in AI and LLMs.Data Scientists & Developers eager to move beyond using APIs and start building their own models.Researchers & AI Enthusiasts looking to understand modern NLP systems from first principles.Educators seeking a practical teaching resource for AI fundamentals.Start your journey from AI learner to AI builder.
Your first custom Large Language Model awaits.

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