


Sutu Network News On September 5, the AI model community ModelScope (ModelScope) led by Alibaba Cloud launched a new model, launching ModelScope-Agent, an AI Agent development framework adapted to open source large language models. With the help of ModelScope-Agent, all developers can build their own agent applications based on open source LLM, maximizing imagination and creativity. The code for ModelScope-Agent is now open source.
AI Agent (AI agent, AI agent) can be said to be the most popular research direction in the field of large models. It refers to an agent based on LLM that can use tools to autonomously complete specific tasks. As we all know, LLM at the current stage has capability boundaries and is mainly good at processing text tasks. AI Agent collaborates with LLM and other models, software and other external tools to handle various complex tasks in the real world, such as connecting to video generation models and independently producing videos; connecting to external software to help humans write emails, book tickets, etc. Shopping and more.
AI Agent applications are becoming an important track for large-scale model entrepreneurship, and the AI Agent development framework has also emerged. However, most of the existing AI Agent development frameworks in the industry are based on closed-source LLM. In order to fully unleash the productivity of open source LLM, the Moda community has developed an AI Agent development framework ModelScope-Agent that is adapted to open source LLM. In short, ModelScope-Agent is a pilot (pilot) rather than a copilot (co-pilot).
Previously, Moda has used this framework to do "proofing" in the community and built ModeScopeGPT, which can interact with users through natural language, accept user instructions, and call many AIs in the community through the "central model" Tongyi Qianwen Model API can autonomously complete tasks assigned by humans. ModeScopeGPT has been called more than 250,000 times.
(ModelScope-Agent system architecture diagram)
The workflow of AI Agent generally includes task understanding, planning and execution. Among them, LLM is responsible for task planning, tool invocation and reply generation. It is the intelligent center of the entire process, just like the human brain. ModelScope-Agent allows developers to freely choose the "brain" of the agent and adapt to various open source models such as Baichuan and Tongyi Qianwen. Mainstream LLM can be "plug and play". If developers need to specifically train LLM to enhance their tool calling capabilities, they can refer to the open source training data, training methods, optimization plans, and evaluation methods of ModelScope-Agent.
ModelScope-Agent development framework also includes memory control, tool usage and other modules. The memory control module supports knowledge retrieval and prompt (prompt word) management, and the tool usage module supports tool library, tool retrieval, and tool customization. In order to enhance the ability to call open source large model tools, the Moda community also developed a self-developed MSAgent-Bench tool calling data set containing 600,000 samples.
Most AI Agent development frameworks require manual addition of tools, while ModelScope-Agent creates an API tool retrieval engine by calling the open source text vector model on the Magic Community, allowing the AI Agent to automatically retrieve relevant tools according to user instructions. If developers want to add external tools/APIs, they only need to register the tools on ModelScope-Agent and call them directly.
Open source is becoming the choice of many large head model players. In the future, ModelScope-Agent will adapt to more new open source LLMs, and more applications developed based on ModelScope-Agent will be launched, such as personal assistant Agent, Story Agent, Multi-Agent, etc. MoDa encourages developers to use ModelScope-Agent to explore applications in industrial manufacturing, game development, intelligent interconnection and other industries.
MoDa community stated that as the largest and most active AI model open source community in China, MoDa will continue to promote the development of large model technology and applications through open source. Previously, Alibaba Cloud had stated that it would take promoting the prosperity of China's large model ecosystem as its primary goal and build Moda into China's largest free market for large models. (Gardenia Orange)
The above is the detailed content of Moda Community launches an AI Agent development framework, allowing everyone to 'build' intelligent agent applications based on open source LLM. For more information, please follow other related articles on the PHP Chinese website!

The legal tech revolution is gaining momentum, pushing legal professionals to actively embrace AI solutions. Passive resistance is no longer a viable option for those aiming to stay competitive. Why is Technology Adoption Crucial? Legal professional

Many assume interactions with AI are anonymous, a stark contrast to human communication. However, AI actively profiles users during every chat. Every prompt, every word, is analyzed and categorized. Let's explore this critical aspect of the AI revo

A successful artificial intelligence strategy cannot be separated from strong corporate culture support. As Peter Drucker said, business operations depend on people, and so does the success of artificial intelligence. For organizations that actively embrace artificial intelligence, building a corporate culture that adapts to AI is crucial, and it even determines the success or failure of AI strategies. West Monroe recently released a practical guide to building a thriving AI-friendly corporate culture, and here are some key points: 1. Clarify the success model of AI: First of all, we must have a clear vision of how AI can empower business. An ideal AI operation culture can achieve a natural integration of work processes between humans and AI systems. AI is good at certain tasks, while humans are good at creativity and judgment

Meta upgrades AI assistant application, and the era of wearable AI is coming! The app, designed to compete with ChatGPT, offers standard AI features such as text, voice interaction, image generation and web search, but has now added geolocation capabilities for the first time. This means that Meta AI knows where you are and what you are viewing when answering your question. It uses your interests, location, profile and activity information to provide the latest situational information that was not possible before. The app also supports real-time translation, which completely changed the AI experience on Ray-Ban glasses and greatly improved its usefulness. The imposition of tariffs on foreign films is a naked exercise of power over the media and culture. If implemented, this will accelerate toward AI and virtual production

Artificial intelligence is revolutionizing the field of cybercrime, which forces us to learn new defensive skills. Cyber criminals are increasingly using powerful artificial intelligence technologies such as deep forgery and intelligent cyberattacks to fraud and destruction at an unprecedented scale. It is reported that 87% of global businesses have been targeted for AI cybercrime over the past year. So, how can we avoid becoming victims of this wave of smart crimes? Let’s explore how to identify risks and take protective measures at the individual and organizational level. How cybercriminals use artificial intelligence As technology advances, criminals are constantly looking for new ways to attack individuals, businesses and governments. The widespread use of artificial intelligence may be the latest aspect, but its potential harm is unprecedented. In particular, artificial intelligence

The intricate relationship between artificial intelligence (AI) and human intelligence (NI) is best understood as a feedback loop. Humans create AI, training it on data generated by human activity to enhance or replicate human capabilities. This AI

Anthropic's recent statement, highlighting the lack of understanding surrounding cutting-edge AI models, has sparked a heated debate among experts. Is this opacity a genuine technological crisis, or simply a temporary hurdle on the path to more soph

India is a diverse country with a rich tapestry of languages, making seamless communication across regions a persistent challenge. However, Sarvam’s Bulbul-V2 is helping to bridge this gap with its advanced text-to-speech (TTS) t


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Dreamweaver Mac version
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 Chinese version
Chinese version, very easy to use

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software
