AI Programming – 11 – Design and Application of Intelligent Agent Systems ①

AI Programming - 11 - Design and Application of Intelligent Agent Systems ①

Preliminary Review “AI Programming – 01 – ByteDance – AI Native Programming Tool – TRAE Installation and Configuration“ “AI Programming – 02 – Local Deployment of DeepSeek and Practical Prompt Engineering”“AI Programming – 03 – Cursor/Trae/Lingma Programming – From Beginner to Expert”“AI Programming – 04 – Embedding and Vector Databases”“AI Programming – 05 – RAG … Read more

Creating Your First Chatbot

#!/user/bin/env python # -*- coding: utf-8 -*- """ @File : 1.第一个聊天机器人 """ import dotenv from langchain_core.output_parsers import StrOutputParser from langchain_core.prompts import ChatPromptTemplate from langchain_openai import ChatOpenAI import os # 读取env配置 dotenv.load_dotenv() # 1.创建提示词模板 prompt = ChatPromptTemplate.from_template("{question}") # 2.构建qwen3-coder-plus模型 llm = ChatOpenAI( api_key=os.getenv("IFLOW_KEY"), base_url="https://apis.iflow.cn/v1", model="qwen3-coder-plus") # 3.创建输出解析器 parser = StrOutputParser() # 4.执行链 chain = prompt | … Read more

What Knowledge is Required for Frontend Development of AI Agents?

What Knowledge is Required for Frontend Development of AI Agents?

Introduction When AI first emerged, it was simply a chatbot interface. Over time, it has gradually added functionalities, such as internet connectivity, tool configuration, and custom workflows for agents. With agents, AI can be applied to various real-world business scenarios, marking a process of gradual evolution and implementation. For instance, AI programming, which we programmers … Read more

Developing AI Agents with Python (Part Four)

Developing AI Agents with Python (Part Four)

The previous article introduced how to define prompt templates within the Langchain framework. This article will introduce a tool in the LangChain ecosystem called LangServe. 1. What is LangServe? LangServe is a tool in the LangChain ecosystem designed to help developers quickly deploy chains, agents, or other runnable objects developed with LangChain as REST API … Read more

AI Business Insights | Arm Restructures Product Naming System to Highlight Energy Efficiency of AI Computing Power, Targeting Emerging Markets like Automotive

AI Business Insights | Arm Restructures Product Naming System to Highlight Energy Efficiency of AI Computing Power, Targeting Emerging Markets like Automotive

AI + Business AI Business Insights Arm Restructures Product Naming System to Highlight Energy Efficiency of AI Computing Power, Targeting Emerging Markets like Automotive The British chip design company Arm recently announced a renaming of its system-on-chip (SoC) product line, emphasizing its low power consumption advantages in AI workloads, showcasing its strategic transformation from a … Read more

Accessing Locally Deployed Models on RK3588 Using LangChain

Accessing Locally Deployed Models on RK3588 Using LangChain

In the field of artificial intelligence and natural language processing, utilizing powerful tools and frameworks to interact with locally deployed models is a common and important task. Today, I will share how to use the LangChain framework to access models deployed locally on the RK3588. Background Knowledge Introduction to LangChain LangChain is a powerful Python … Read more

How to Play Well with AI Agents and the Business of Large Model Plugins?

How to Play Well with AI Agents and the Business of Large Model Plugins?

Original: Dear Data (1) If we say that developing applications for large models is like gold mining, then the frameworks, tools, and platforms that accelerate application development are the “shovels for mining gold.” Where there are gold miners, there will always be shovel manufacturers. Opportunities will definitely be seized by leading vendors. And open-source products … Read more