In 2024, AI will remain a mainstream technology trend, and the "generative AI" craze will continue to spread. Taizhi Cloud, together with ASUS Cloud and Taiwan Mobile Enterprise Services, is hosting the first "GenAI Online Technology Forum" to invite experts and partners to share the generative AI technology trends, technologies and applications that you must know, and move towards a more meaningful AI era together!
What is RAG? It's the key to breaking the "illusion" of AI!
RAG (Retrieval Augmented Generation) is a method that combines information retrieval and text generation. It not only enhances the accuracy of responses from large language models and reduces the problem of "hallucinations"—invented answers—but also enriches the machine's understanding and processing capabilities of human language.How can RAG reshape the future of AI?
While RAG represents a new force in unlocking the development of generative AI, it still faces challenges in terms of answer accuracy and coverage. This forum will explore how to effectively address these challenges by evaluating four key RAG metrics. It will also introduce a series of advanced strategies to enhance RAG result satisfaction, including Multi-Query Retriever, HyDE, Sentence-Window, and Self-Query Retriever, thereby improving the practicality and effectiveness of RAG in real-world applications.What are some innovative applications of RAG? Enhancing business opportunities and value for enterprises!
RAG has the ability to retrieve information from external knowledge bases, making it highly suitable for situations where external knowledge is needed to assist in answering questions, such as KM knowledge management systems and intelligent customer service dialogue systems. We have specially invited partners from ASUS Cloud and Taiwan Mobile Enterprise Services to share practical cases with you, demonstrating the practical experience and application value of improving RAG performance in enterprise tasks.
| Agenda 1: RAG Evaluation Metrics and How to Improve Output Satisfaction
| Speaker 1: Vinter Chen, Generative AI Consultant Manager, Taizhiyun
You will learn:
- Basic Operational Process of RAG
- Evaluation metrics for RAG output
- How to improve RAG output satisfaction
| Agenda 2: Leveraging the large-scale model from Formosa to create enterprise AI knowledge management services
| Lecturer 2: Kelly Hsu, ASUS Cloud Product Manager
You will learn:
- It'll be too late if you don't catch up now! Unlock GAI's innovative business applications.
- AI as a savior of illusions? An analysis of how xBrain uses the RAG architecture to create a trustworthy second brain.
- The new era of AI in knowledge management has arrived! A breakdown of xBrain's real-world application cases.
| Agenda 3: Beyond Tradition: Reshaping the Customer Service Experience with LLM
| Lecturer 3: Ricky Wu, Senior Principal Engineer, Taiwan Mobile
You will learn:
- Focusing on Embedding Model and RAG technology
- Improve the quality and efficiency of traditional intelligent customer service systems
- Creating innovative value through generative AI applications
Co-organized by: Taiwan Smart Cloud, ASUS Cloud, and Taiwan Mobile Enterprise Services
Co-organizers: AI Alliance, Taiwan Cloud & IoT Industry Association, Taiwan Artificial Intelligence Chip Alliance