AI chatbot for OneGame
OVERVIEW
Torno, a leading online gaming platform, enhances user experience with fine-tuned Retrieval-Augmented Generation (RAG) models for personalized support and engagement.
Key Highlights
Challenges Addressed
- Scaling support amid platform expansion and growing user needs.
- Providing contextually relevant assistance for complex gaming queries.
- Enhancing user engagement through personalized recommendations.
Approach Implemented
Implemented fine-tuned RAG chatbot:
- Integrates retrieval and generative components for nuanced user responses.
- Supports users with gameplay mechanics, troubleshooting, and game recommendations.
- Connects users based on shared interests for enhanced community interaction.
Results Achieved
- Enhanced user satisfaction and retention with personalized support.
- Increased operational efficiency by automating routine queries.
- Leveraged user data for insights to improve tutorials and feature recommendations.
Technology Stack
- Fine-tuned Retrieval-Augmented Generation (RAG) models, extensive knowledge bases, automated analytics for user data insights.
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