Overview

Unlock the full potential of self-hosted AI without compromising privacy, speed, or control. In this comprehensive hands-on guide, you'll master open source LLMs like LLaMA.cpp, Mistral, and GPT4All to build, customize, and deploy powerful local language models entirely on your hardware. Say goodbye to cloud APIs, hidden limits, and data leaks. Whether you're a developer, AI engineer, or tech enthusiast, this book equips you with practical, step-by-step projects to: Run offline LLMs with blazing-fast inference Set up self-hosted AI using Ollama, LM Studio, and llama.cpp Fine-tune models for custom tasks like chatbots, code generation, and data analysis Build GPT-style assistants without OpenAI dependencies Deploy secure, private AI on laptops, servers, or edge devices Packed with 18 real-world projects, proven tools, code snippets, and deployment blueprints, you'll go from beginner to pro in private GPT deployment. Master quantization, RAG, LoRA fine-tuning, and multi-GPU optimization to create 100% yours AI solutions. This isn't theory it's your blueprint to the AI revolution. If you demand control, speed, privacy, and open source freedom, this is your ultimate playbook for self-hosted AI mastery.

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