Build Your Own AI Assistant: Run Local LLMs, Automate Workflows, and Avoid Cloud Costs
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
English | May 16, 2025 | ISBN: N/A | ASIN: B0F91SH7HV | 121 pages | EPUB | 1.11 Mb
English | May 16, 2025 | ISBN: N/A | ASIN: B0F91SH7HV | 121 pages | EPUB | 1.11 Mb
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 — 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.
🔹 Learn how to install, run, and optimize powerful LLMs on your PC or server
🔹 Automate internal workflows and build private AI agents
🔹 Use Docker, FastAPI, and Gradio to deploy full-stack AI applications
🔹 Integrate with tools like Google Sheets, Notion, Supabase
🔹 Avoid recurring API costs and protect your data privacy
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.