Build Your Own AI Assistant: Run Local LLMs by Ethan Lang (.ePUB)+

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File Size: 10 MB

Build Your Own AI Assistant: Run Local LLMs, Automate Workflows, and Avoid Cloud Costs: A Hands-On Guide to Running Offline LLMs Using LLaMA, Ollama, LangChain, and More For Developers, Makers by Ethan Lang
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 10 MB
Overview: Unlock the Power of AI Without the Cloud. In a world dominated by ChatGPT, Gemini, and cloud-based APIs, this book shows you how to take full control of Artificial Intelligence (AI) — right from your own machine. Build Your Own AI Assistant is the ultimate hands-on guide to running Local LLMs using cutting-edge open-source tools like LLaMA, Ollama, LangChain, and RAG — with zero reliance on OpenAI, API keys, or vendor lock-in. Whether you’re a backend developer, sysadmin, indie hacker, or simply curious about AI, this book gives you the skills and tools to own your AI stack. Includes practical examples, code templates, and a capstone project: Deploy your own AI assistant for internal use. Basic Python knowledge is helpful, but the book includes guided steps, code walkthroughs, and real-world examples to get you running fast — even if you’ve never touched Docker or LangChain before.
Genre: Non-Fiction > Tech & Devices

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