Description
Every chapter builds toward a single goal: your own ChatGPT-like app, running 100% offline. Along the way, you’ll install and manage multiple models (Llama, Gemma, Qwen, and Mistral) through Ollama, set up a professional Python environment from scratch with Homebrew and VS Code, and master Streamlit’s elegant Python-only UI framework. Architectural diagrams, flowcharts, sequence diagrams, and side-by-side comparison tables bring abstract concepts to life.
You’ll customize AI behavior through system prompts, temperature tuning, and Ollama Modelfiles to create your own custom LLM personalities. You’ll verify true privacy by running the famous “airplane mode test” by cutting your network and watching your chatbot keep working. Next, add streaming responses, conversation memory, and model-selection sidebars. Finally, you’ll extend your app with RAG (retrieval-augmented generation) to read your own documents, and LangChain agents that use tools autonomously.







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