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GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture
March 19, 2024, 4:53 a.m. | Shanglong Yang, Zhipeng Yuan, Shunbao Li, Ruoling Peng, Kang Liu, Po Yang
cs.CL updates on arXiv.org arxiv.org
Abstract: In the rapidly evolving field of artificial intelligence (AI), the application of large language models (LLMs) in agriculture, particularly in pest management, remains nascent. We aimed to prove the feasibility by evaluating the content of the pest management advice generated by LLMs, including the Generative Pre-trained Transformer (GPT) series from OpenAI and the FLAN series from Google. Considering the context-specific properties of agricultural advice, automatically measuring or quantifying the quality of text generated by LLMs …
abstract advice agriculture application artificial artificial intelligence arxiv cs.cl generated gpt gpt-4 intelligence language language models large language large language models llms management prove type
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