“In the field of quantitative investment, the large investment model (LIM) has been introduced to address the challenges of diminishing returns and increasing labor and time costs. Expert xx established the LIM system, which employs end-to-end learning and universal modeling to create an upstream foundation model capable of autonomously learning comprehensive signal patterns from diverse financial data. These "global patterns" are then transferred to downstream strategy modeling, optimizing performance for specific tasks. This provides solutions to enhance both performance and efficiency at scale in quantitative investment research.”