Gorilla: Large Language Model Connected with Massive APIs

Large Language Models (LLMs) have seen an impressive wave of advances, withmodels now excelling in a variety of tasks, such as mathematical reasoning andprogram synthesis. However, their potential to effectively use tools via API callsremains unfulfilled. This is a challenging task even for today's state-of-the-artLLMs such as GPT-4 largely due to their unawareness of what APIs are availableand how to use them in a frequently updated tool set. We develop Gorilla, afinetuned LLaMA model that surpasses the performance of GPT-4 on writing APIcalls. Trained with the novel Retriever Aware Training (RAT), when combinedwith a document retriever, Gorilla demonstrates a strong capability to adapt totest-time document changes, allowing flexible user updates or version changes.It also substantially mitigates the issue of hallucination, commonly encounteredwhen prompting LLMs directly.