HANDS-ON GUIDE TO LARGE LANGUAGE MODELS (LLMS‪)‬

Hands-On Guide to Large Language Models (LLMs)
Build, Fine-Tune, and Deploy LLMs for Language Understanding, Text Generation, Retrieval-Augmented Generation, and AI Applications

Unlock the full potential of large language models with this comprehensive, hands-on guide from AI expert Finn Tech. Designed for advanced developers, ML engineers, and applied researchers, this book bridges the gap between theoretical understanding and real-world implementation, giving you the skills to design, fine-tune, and deploy LLM-powered systems in production environments.

Inside, you’ll discover:

The foundations of LLMs, from tokenization and embeddings to transformer architectures and scaling principles.

Practical, step-by-step Python implementations with fully documented, production-ready code examples.

Advanced techniques in prompt engineering, instruction-tuning, and retrieval-augmented generation (RAG).

Strategies for debugging, testing, optimizing, and scaling your AI pipelines.

Guidance on security, compliance, and ethical deployment, ensuring your systems are robust, safe, and responsible.

Real-world mini-projects and case studies that simulate enterprise AI applications.

Whether you’re building AI assistants, text generation tools, or complex NLP pipelines, this book provides the knowledge, tools, and insights you need to move from experimentation to production with confidence.

Step into the forefront of AI development — master large language models and bring your projects to life with LLMs today.