Spark LLM and the Scientific Research it empowers: Practice and Thoughts

摘要

The 2024 Nobel Prizes in Chemistry and Physics have once again drawn global attention to AI for Science. The rise of foundation models has further accelerated AI for Science across multiple disciplines. Scientific research is both a touchstone for advancing the intelligence of these models, and the models themselves are accelerators that empower scientific research. As a high-tech enterprise deeply engaged in artificial intelligence, iFLYTEK has in recent years made AI for Science (AI4S) a strategic priority and undertaken a series of initiatives. In this talk, Dr. Xin Li will provide a comprehensive overview of the iFLYTEK Spark Large Language Model and highlight its recent advances. He will outline two principal pathways through which AI accelerates scientific research-deep neural networks and LLM-based approaches-and present iFLYTEK's work along both lines. In addition, he will discuss key challenges and the outlook for the future development of AI for Science. Attendees will gain insights into how AI empowers scientific research and gain inspiration in their own scientific field.