As artificial intelligence continues to advance, the use of language models like GPT-3 has become increasingly common across various fields, including agriculture. However, a recent study has raised concerns about the accuracy of GPT-3 when it comes to predicting crop losses. The implications of such inaccuracies could have significant ramifications for farmers and food production globally. With increasing reliance on AI technologies in agriculture, it’s crucial to delve deeper into the limitations of these systems and explore potential solutions to mitigate the impact of inaccuracies on crop yields.

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source: Phys.org