Recently, the Intelligent Photonics Team from the Beijing Institute of Technology (BIT) has achieved significant milestones in the realm of "Large Language Models + Nanosynthesis." The team has meticulously assembled an extensive nanocrystal database, encompassing nearly 160,000 high-quality, meticulously aligned data entries. This database provides a comprehensive overview of crucial aspects, including synthesis steps, reactants, and the physicochemical properties of nanocrystals. Leveraging this rich repository, the team has developed the NanoExtractor large language model, which significantly boosts information extraction accuracy to an impressive 92% through the implementation of four sophisticated data augmentation strategies. Additionally, they have constructed the NanoDesigner generative inverse design model. This innovative model is capable of directly generating specific, actionable synthesis routes tailored to target products, constrained reactants, and desired properties, achieving an average experimental success rate of 80%. This research represents a groundbreaking departure from the inefficiencies of traditional "trial-and-error" methodologies, paving the way for intelligent, on-demand customization of nanomaterials. The related findings have been published in the esteemed journal ACS Nano.