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Framework for building LLM applications with Qwen models' advanced capabilities

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Qwen Agent Overview

Qwen-Agent is an open-source framework developed by Alibaba Cloud for creating Large Language Model (LLM) applications. It leverages the instruction-following, tool usage, planning, and memory capabilities of Qwen models. The framework provides components for LLMs, prompts, and agents, allowing developers to quickly build and customize AI agents that can use various tools and handle complex tasks

Qwen Agent Key Features

Supports multiple Qwen model sizes (0.5B to 72B)
Includes pre-built components for LLMs, prompts, and agents
Allows integration of custom tools
Provides example applications (Browser Assistant, Code Interpreter, Custom Assistant)
Supports multimodal data understanding (text, audio, images)
Offers long-context handling capabilities

Qwen Agent Use Cases

Developing chatbots and virtual assistants
Creating code interpretation and generation tools
Building browser extensions for AI-assisted web browsing
Implementing Retrieval-Augmented Generation (RAG) systems
Constructing AI agents for complex task planning and execution
Developing multimodal applications (text, audio, image processing)
Pricing
Free

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