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Step into the engine room of Artificial Intelligence. The LLM Guide by Shivam Kumar is not just another AI book—it's a technical and conceptual roadmap to mastering the architecture, mathematics, and engineering behind the world's most powerful language models.
From tokenization to transformer attention, dataset curation to fine-tuning, this guide unpacks how systems like ChatGPT, Claude, and Gemini actually think and learn. You'll understand every layer: model training, prompt optimization, data alignment, ethical safety protocols, and how open-source LLMs like LLaMA and Mistral are revolutionizing AI accessibility.
With clear examples, real-world case studies, and practical engineering steps, this book empowers students, researchers, and builders to move beyond buzzwords—to create, train, and deploy their own intelligent models.
This is your essential blueprint to understanding the minds of machines and the logic of intelligence itself.
AI, LLM, GPT, machine learning, NLP, transformers, deep learning, fine-tuning
