Traditional Chinese Medicine Knowledge Graph System Author: Liu Di What Is a Knowledge Graph? The introduction of “Knowledge Graph” from Baidu Encyclopedia states: A knowledge graph is a series of various different graphics that display the development process and structural relationships of knowledge, visualizing knowledge resources and their carriers, and mining, analyzing, constructing, drawing, and … Read more
1 Algorithm Introduction LightGBM (Light Gradient Boosting Machine, hereinafter referred to as LGBM) is an efficient and scalable machine learning algorithm based on Gradient Boosted Decision Trees (GBDT). As a member of the GBDT framework algorithms and a successor to the XGB algorithm, LGBM effectively integrates a series of advantages from previous GBDT algorithms, including … Read more
1 Algorithm Introduction From the name, we can see that the BP neural network can be divided into two parts: bp and neural network. Here, bp is the abbreviation for Back Propagation, which means reverse propagation. The BP network can learn and store a large number of input-output mapping relationships without needing to reveal the … Read more
1 Algorithm Introduction Retrieval Augmented Generation (RAG) has become one of the hottest applications of large language models (LLM). After the recent boom in large models, everyone must have a certain understanding of their capabilities. However, when we apply large models to practical business scenarios, we find that generic foundational models generally cannot meet our … Read more
Research Background In the era of big data and artificial intelligence, the position of literature as a core knowledge carrier has not changed. However, the current methods of literature resource management, such as information retrieval, databases, subject headings, and classification systems, cannot meet the higher-level needs of researchers. The knowledge graph is a novel mass … Read more