Are you confused while building an AI Agent? Anthropic’s architecture design and practice guide is here! This article delves into how to construct an efficient AI Agent, with the core point being: the key to success is not building the most complex system, but rather creating a system that fits your needs. By utilizing simple, … Read more
CMAT: A 1.8B Agent Model Comparable to GPT-3.5 Release Date: April 2, 2024 Agent Artificial Intelligence Abstract Open large language models (LLMs) have greatly advanced natural language processing technology, excelling in numerous tasks. However, the effective use of LLMs still relies on human guidance to ensure smooth dialogue. Agent tuning techniques play an important role … Read more
The open-source agent series focuses on introducing currently available open-source agent frameworks in the market, such as CrewAI, AutoGen, LangChain, phidata, Swarm, etc., discussing their advantages, disadvantages, features, effects, and usage. Interested friends can follow the public account “XiaozhiAGI” for continuous updates on cutting-edge AI technologies and products, such as RAG, Agent, Agentic workflow, AGI. … Read more
In the second part, we explored the principles of modular design. We discussed strategies for decomposing the Agent system by borrowing the bounded context concept from microservices to determine the scope of each sub-Agent. We also hinted that modularization introduces a need for a well-thought-out interaction model between agents and sub-Agents. Today, we will delve … Read more
AI Agent and Agentic AI are currently popular applications of AI, ranging from various tools to enterprise application systems, all filled with expectations of transforming through the use of AI Agent or Agentic AI. So, what exactly is an AI Agent? What is Agentic AI? What are their differences and connections? First, let’s look at … Read more
LangGraph provides a hands-on approach to how humans can interact with agents. `LangGraph` is a library for building stateful, multi-participant applications using `LLM`, designed for creating agent and multi-agent workflows. Compared to other `LLM` frameworks, it has the following core advantages: loops, controllability, and persistence. `LangGraph` allows you to define processes that involve loops, which … Read more
Follow our public account to learn more about the hybrid office ecosystem and Microsoft infrastructure. This article is approximately 2000 words and takes about 10 minutes to read. Agents are the direction for AI implementation In previous articles, I mentioned the importance of data for AI and its application in enterprises. There is a vast … Read more
In the previous article (Customizing Your Copilot Agent), I introduced how to customize your agent for Microsoft 365 Copilot, which allows Microsoft 365 Copilot to assist you in answering questions in specific domains and completing highly personalized tasks. In the above text, I mentioned a PowerShell module we developed ourselves, Microsoft Copilot Toolkit (https://github.com/code365opensource/microsoft.copilot.toolkit), which … Read more
Follow me and remember to star⭐️ so you don’t get lost The way humans interact with machines is undergoing a significant transformation, evolving from simple conversationsChatbot to autonomous Agents. Today, I will share some new developments from Zhipu in this area. Zhipu, as a leading company exploring Agents, has achieved many remarkable results. First, let’s … Read more
GLM-PC is a general-purpose Agent technology product launched by Zhipu AI, based on a visual multimodal model that can simulate human operations on a computer. Below is an introduction and application scenarios for GLM-PC: Introduction GLM-PC can simulate basic operations of humans on computers, exploring the technology of general-purpose Agents based on visual multimodal models. … Read more