QwenAgents - Create AI Agents Featuring Function Calling, Code Interpreter, and, RAG!
AI Summary
Summary: Alibaba Quinn 1.5 Model and Quen Agents
- Alibaba Quinn 1.5 Model:
- Open-source with model sizes ranging from 0.5 to 72 billion parameters.
- Superior performance compared to other open-source models, close to GPT-4.
- Quen Agents:
- A framework for developing large niche model applications.
- Features include instruction following, tool usage, planning, and memory capabilities.
- Example: Browser Quin app, a Chrome extension for web page and document interaction.
- Allows recording and summarizing of web pages, PDFs, Word, and PowerPoint files.
- Includes function calling and a code interpreter for development.
- Community and Support:
- Partnerships offering free AI tool subscriptions.
- Patreon access provides consulting, networking, and collaboration opportunities.
- Daily AI news, resources, tools giveaways, and more.
- Quen Agent Capabilities:
- Versatile with function calling, code interpreter, and retrieval/generation abilities.
- Can assist with browsing, navigating the web, and executing code snippets.
- Supports multi-turn conversations for fluid interactions.
- Data analytical tasks using the code interpreter feature.
- Developing with Quen Agent:
- Repository with examples like PDF document Q&A bot, workstation chat mode bots.
- Browser Quin app demonstrates the framework’s potential.
- Installation requires git, cloning the repo, and installing requirements.
- Option to use Alibaba’s model service or deploy local open-source models.
- Examples include custom tools, group chat, function calling, and various chatbots.
- Getting Started:
- Clone the repository and install the framework.
- Set environment variables for using model services.
- Examples and UI framework available for creating AI applications.
- Conclusion:
- Quen agent is an underrated framework with vast potential.
- Encouragement to explore and utilize Quen agent for AI development.
- Links and resources provided for further engagement and learning.