LLaMA-E: Empowering E-commerce Authoring with Multi-Aspect Instruction Following. (arXiv:2308.04913v1 [cs.CL])

E-commerce authoring involves creating attractive, abundant, and targeted
promotional content to drive product sales. The emergence of large language
models (LLMs) introduces an innovative paradigm, offering a unified solution to
address various authoring tasks within this scenario. However, mainstream LLMs
trained on general corpora with common sense knowledge reveal limitations in
fitting complex and personalized features unique to e-commerce products and
customers. Furthermore, LLMs like GPT-3.5 necessitate remote accessibility,
raising concerns about safeguarding voluminous customer privacy data during
transmission. This …

arxiv commerce common sense drive e-commerce emergence general knowledge language language models large language large language models limitations llama llms paradigm product sales sense solution