Title: From Search to Answers, what you should know about RAG
Speaker: Mr. Kelvin He, AI Data Scientist, Lenovo

Time: 10/29/2025, Thursday, 8:00 PM

Content:

• The Evolution of Information Retrieval
• RAG Framework Overview, How It Works
• What Affects RAG Speed? Understanding Latency and Throughput
• Optimizing for Real-World Deployment
• Future Trends

Speaker bio:
Mr. Kelvin He is a seasoned AI Data Scientist at Lenovo, with more than ten years of turning complex data into business-shaping insights. His expertise spans the full machine-learning spectrum—regression, classification, anomaly detection, graph knowledge, one-class and causal ML, and the latest advances in large-language models and Retrieval-Augmented Generation (RAG).

Join us to hear Kelvin He demystify cutting-edge AI methods and share practical strategies you can apply immediately in your own AI projects.