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Efficient Prompting for LLM-based Generative Internet of Things
June 18, 2024, 4:44 a.m. | Bin Xiao, Burak Kantarci, Jiawen Kang, Dusit Niyato, Mohsen Guizani
cs.CL updates on arXiv.org arxiv.org
Abstract: Large language models (LLMs) have demonstrated remarkable capacities on various tasks, and integrating the capacities of LLMs into the Internet of Things (IoT) applications has drawn much research attention recently. Due to security concerns, many institutions avoid accessing state-of-the-art commercial LLM services, requiring the deployment and utilization of open-source LLMs in a local network setting. However, open-source LLMs usually have more limitations regarding their performance, such as their arithmetic calculation and reasoning capacities, and practical …
abstract applications art arxiv attention commercial concerns cs.ai cs.cl deployment generative internet internet of things iot language language models large language large language models llm llms prompting research security security concerns services state tasks things type
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