Improving the Capabilities of Large Language Model Based Marketing Analytics Copilots With Semantic Search And Fine-Tuning

arXiv:2404.13077v1 Announce Type: cross
Abstract: Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without extensive implementation teams. In principle, recently developed large language models (LLMs), like GPT-4, can be deployed to provide marketing insights, reducing the time and effort required to make critical decisions. In practice, there are substantial challenges that need to be …

abstract ai models analytics artificial artificial intelligence arxiv attribution budget capabilities copilots cs.cl cs.lg fine-tuning however implementation improving insights intelligence language language model large language large language model marketing optimization search semantic solve teams type