Graphs for HPC and LLMs

Maciej Besta, a senior researcher at the Scalable Parallel Computing Lab, discusses the cutting-edge intersection of graph theory and high-performance computing. He explores how graph structures enhance large language models through APIs and hypergraphs. The conversation covers challenges in graph databases, the LPG2Vec encoder for data embedding, and advancements in prompt engineering to optimize problem-solving capabilities. Besta also dives into methodologies like chain of thought and the complexities of graph theory in developing efficient language models.