I am a professional developer trainer. You probably have read some of my books/articles on topics such as Blockchain, Android, iOS, Machine Learning, and BLE.
Singapore
Joined July 2008
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Wei-Meng Lee retweeted
Agents sit at the intersection of everything in AI: models, tools, orchestration, decisions, etc.
This makes 'em powerful but also harder to learn in isolation.
Today's Deal of the Day pulls together books across that spectrum, from first concepts to building real agents.
The books:
• AI Agents and Applications by Roberto Infante
• AI Agents in Action, Second Edition by @cxbxmxcx
• Build an AI Agent (From Scratch) by Jungjun Hur and Younghee Song
• Building AI Agents in .NET by @dfcostea
• Grokking AI Applications by @about_big_data
• Hugging Face in Action by @weimenglee
April 22nd only — 50% off: hubs.la/Q04cY4yf0
Really enjoying the MEAP chapters of Build A Multi-Agent System (From Scratch). The intro to agents is especially strong—clear, grounded, no hype. Love that it builds agent + multi-agent systems from scratch instead of hiding behind frameworks.
manning.com/books/build-a-mu…
Wei-Meng Lee retweeted
I've just finished "Hugging Face in Action" amazon.es/Hugging-Face-Actio… by @weimenglee Developer-oriented with much code, practical, useful. #libros #books #HuggingFace #GenerativeAI #software #developer #AI #code #python
Wei-Meng Lee retweeted
📣 Deal of the Day 📣 Nov 4
Now in print! HALF OFF today!
Hugging Face in Action & selected titles: hubs.la/Q03RCkp70
Everything you need to know about using the tools, libraries, and models at Hugging Face - from #transformers, to #RAG, #LangChain, and #Gradio. @weimenglee #AI #LLMs
Learn how to get the absolute best out of everything #HuggingFace, from accessing state-of-the-art models to building intuitive frontends for AI apps. You'll create multiple projects, including an object detection model, a RAG Q&A application, an LLM-powered chatbot, and more.
Wei-Meng Lee retweeted
You know NumPy and Pandas. But can you turn that data know-how into real AI apps?
Hugging Face in Action by @weimenglee shows you how — w/ clear examples & guidance for using Hugging Face’s massive model hub.
Now in print, 50% off w/ code lee3pb thru 11/10: hubs.la/Q03Q4th00
Wei-Meng Lee retweeted
Wei-Meng Lee's book on Hugging Face in Action has just gone to the printer. A hearty thanks to all those who have supported the book in MEAP.
@ManningBooks @weimenglee #HuggingFace #AI #LLMs #GetSome
manning.com/books/hugging-fa…
A multi-agent system is a computational framework where multiple agents interact or collaborate to achieve a common goal or solve a complex task. Check out my article on @AIAdvances to see how you can develop one using LangGraph!
ai.gopubby.com/creating-mult…
Once you learned the basics of creating agents using LangGraph, you can now write your own custom tools to integrate into your own agent. Find out how in this follow-up article on @AIAdvances.
ai.gopubby.com/extend-langgr…
Now that you understand the basics of LangGraph, let's use it to write an agent! Following my article on @AIAdvances to see how to implement it!
ai.gopubby.com/developing-ag…
New to AI programming? Join Module 5 of SMU’s Advanced Cert in Applied AI on 5–6 June 2025!
🧠 Learn to:
✅ Use OpenAI models
✅ Query your own data with LLMs
✅ Run models locally
✅ Build with LangChain
Fee from $254 💡bit.ly/3GzI9hi
You’ve probably heard of @langchain — but have you come across another rising tool called LangGraph? In this article on @AIAdvances, I’ll cover the fundamentals of LangGraph and walk through building a simple yet functional application.
ai.gopubby.com/getting-start…
Ever wondered what exactly are AI agents? Well, wonder no more. If you can code in Python, you can create your own AI agents! Check out my article on @AIAdvances!
ai.gopubby.com/building-ai-a…
Did you know that @ollama's Modelfile lets you customize LLMs to behave exactly how you want? In this article on @AIAdvances, I’ll walk you through some exciting things you can do with Ollama Modelfiles.
ai.gopubby.com/customizing-l…
With Open WebUI, you can now easily interact with LLMs running locally on your computer. What's more, you can use it to perform RAG on your private documents. My article on @AIAdvances shows you how.
ai.gopubby.com/using-open-we…
For my recent article, Transferring and Managing Ollama Model Files, on AI Advances, I uploaded the utility to GitHub. Give it a try if you have Python installed on your system!
github.com/weimenglee/Migrat…
Want to selectively move your models downloaded with Ollama to another folder? My latest article on @AIAdvances explains how @ollama stores downloaded models, and how you can move selected models to another folder.
ai.gopubby.com/transferring-…
Here's Part 2 of the multi-part series on Model Context Protocol (MCP). In this article, I showed how to build your own MCP server and integrate it with the Claude Desktop. Time to get your hands dirty!
levelup.gitconnected.com/bri…
Have a lot of documents that you want to extract data from? In this article on @AIAdvances I showed how to extract text, tables, and images data from a wide variety of document formats.
medium.com/ai-advances/extra…
There are many tools that allow you to run LLMs locally on your computer. In this article for @AIAdvances, I discussed vLLM, a tool that is designed to run LLMs using CUDA.
ai.gopubby.com/running-llms-…
Have you heard of the Model Context Protocol (MCP)? What is it, how does it work, and how can you get started? In this multi-part series, I’ll explain what MCP is and guide you through getting started with it.
medium.com/p/3f53dc753ef2
#MCP #ModelContextProtocol #LLM #JSONRPC
