I just stumbled upon this fascinating multi-agent opinion analysis system. It's called ๅพฎ่ (BettaFish). This is what it does: ๐งต
1. This system leverages AI for all-round monitoring, scanning over 30 social media platforms 24/7. It captures real-time hot topics along with millions of user comments to give you the true voice of the public. ๐ฆพ
2. BettaFish goes beyond traditional LLMs with a composite analysis engine, utilizing specialized agents and multiple models for depth and accuracy. It's analysis from every angle. ๐
3. The system offers multi-modal capabilities by analyzing not just text but video content too. You can extract detailed information from platforms like Douyin and Kuaishou, making your analysis truly comprehensive.
4. Innovative agent collaboration happens through a debate mechanism. Agents engage in dialogue to enhance decision-making, breaking the limits of individual thought processes and improving result quality. ๐ค
5. It seamlessly integrates public data with your internal databases, allowing for a powerful mix of external trends and internal insights, giving you a full analysis picture. ๐
6. The framework is lightweight and highly extensible, designed in pure Python for easy deployment. Developers can customize models and business logic with ease. ๐
Check out the full repo here: https://github.com/666ghj/Bett...
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AI inference tools are essential for enhancing Retrieval-Augmented Generation (RAG) methods that use knowledge graphs. Iโve found PyTorch to be particularly effective, thanks to its ability to support dynamic computation graphs and scale well for complex models. Self-critique is




