Introducing Advanced Techniques for Enhancing Large Language Models (LLMs)
In the rapidly evolving field of artificial intelligence, mastering Large Language Models (LLMs) requires a blend of optimization, graph technology, and Retrieval-Augmented Generation (RAG) techniques. This talk introduces key strategies for maximizing LLM performance, integrating graph databases, and advancing RAG methodologies. We’ll delve into topics such as optimization flows and prompt engineering while also examining the synergy between LLMs and graph technology through knowledge graphs and vector searches.