Weiwei Mengmeng, a new idol for young people, publishes a book to teach you how to use AI
Weiwei Mengmeng is a well-known Taiwanese internet celebrity and singer-songwriter. Their single " Weimeng's Three Hundred Days of Gift " has over 140,000 views on YouTube. The main creator is Mengbert, a graduate of National Taiwan University's Department of Civil Engineering and currently a graduate student in Fu Jen Catholic University's Department of Music. The author of this book is Weibert, a master's degree holder in computer science from Taipei City University. He has won the gold medal in the Ministry of Education's National College Artificial Intelligence Competition (AI CUP) and the Trend Micro Student Pre-employment Award.
This time, he published a book under the pen name "Weibert Weiberson," combining theory with practice, and launched the book " Local Ollama × LangChain × LangGraph × LangSmith Development Manual: Building RAG, Agent, and SQL Applications ."
Building large-scale local language model applications through hands-on learning
Weibao says this book is suitable for developers who want to build large-scale local language models. It teaches you how to build large-scale language model applications using local devices. The book includes practical examples, allowing you to directly implement the code. The book also uses examples from Weiwei and Mengmeng's daily lives, such as using everyday language to perform semantic similarity searches on a vector database.
The book emphasizes "data privacy" and "model flexibility." By running large language models locally through the Ollama system, developers can avoid uploading sensitive data to the cloud and save on expensive API fees. Paired with the LangChain application framework, developers can quickly convert existing functions into AI tools and even switch between models without rewriting code, significantly increasing flexibility.
The book also thoroughly explains the application of Retrieval-Augmented Generation (RAG), enabling rapid import of data from PDFs, web pages, and JSON to build a unique knowledge base for your model. Combined with AI Agent and LangGraph process control, developers can design intelligent agents that can autonomously plan actions while avoiding infinite loops. Finally, using the LangSmith evaluation tool, prompt design, performance, and task decision-making during the development process can be clearly quantified and tracked.
A complete analysis of the five new LLMs in 2025, covering payment, application, and security .
This article, "Weiwei Mengmeng publishes a book teaching you how to build "local LLM applications," reveals that behind Meng Bao's shy appearance lies a Master of Computer Science," first appeared on ABMedia ABMedia .
