Build & Deploy an LLM-Powered Chatbot: End-to-End with Python, RunPod, Hugging Face & React Native
暫譯: 構建與部署 LLM 驅動的聊天機器人：使用 Python、RunPod、Hugging Face 和 React Native 的端到端實作

Unlock the full potential of Large Language Models (LLMs) by building and deploying your own intelligent chatbot from scratch-using cutting-edge tools like Hugging Face Transformers, RunPod GPU cloud, FastAPI, and React Native. Whether you're an AI enthusiast, Python developer, or mobile app creator, this book takes you on a complete hands-on journey-from prototype to production.

In a world where AI chat interfaces are transforming how users interact with software, this book gives you a practical, project-based blueprint to master conversational AI development. Unlike high-level overviews or overly theoretical guides, you'll build a real-world, production-ready chatbot that integrates LLMs, serverless backends, and mobile frontends using industry-standard tools.

Written by Wilfrid Alfred, a recognized expert in machine learning and full-stack development, this guide draws from real engineering practices and up-to-date frameworks to ensure your skills are both market-relevant and future-proof.

• How to fine-tune, host, and consume Hugging Face models for chat tasks

• Build an intelligent chatbot backend using FastAPI and RunPod

• Implement streaming responses using SSE for smoother UX

• Integrate a beautiful mobile frontend with React Native and Expo Router

• Securely manage API tokens, .env files, and background processing

• Add offline support, local chat history, and optimize for low-latency environments

• Deploy continuously using GitHub Actions and EAS OTA updates

• Optimize for cost, performance, and scalability in production

Wilfrid Alfred is a seasoned AI engineer, full-stack developer, and author of multiple top-rated software engineering books. Known for his clarity, depth, and practical approach, Wilfrid bridges the gap between academic ML theory and production-level engineering. His books empower developers to apply bleeding-edge technologies-today, not in five years.

• Python developers curious about AI applications

• Mobile developers wanting to integrate smart LLM interfaces

• Engineers looking to deploy chatbots to real users

• Freelancers and indie makers creating AI-driven apps

• Learners preparing for practical AI roles or interviews

Start building the future of communication-one LLM-powered message at a time.
Grab your copy and bring your own intelligent chatbot to life!