Orchestrating Efficient Reasoning Over Knowledge Graphs with LLM Compiler Frameworks

Artificial intelligence software was used to enhance the grammar, flow, and readability of this article’s text.

Recent innovations in large language model (LLM) design have led to rapid advancements in few-shot learning and reasoning capabilities. However, despite their progress, LLMs still face limitations when dealing with complex real-world contexts involving massive amounts of interconnected knowledge.