One of the most-debated innovations in the artificial intelligence industry today is the development of a language model called GPT-3 (Generative Pretrained Transformer 3), which can generate human-like text from big data.
ChatGPT, like other artificial intelligence-based applications, is considered a powerful tool for generalists because it can help them learn faster, deeper, and more efficiently amid the vast data and information online.
For farms, which often need to deal with and learn complex relationships and environmental factors, the AI-based tool ChatGPT can help them learn several topics quickly.
Repetitive mental tasks and actions can be automated through AI-based applications, allowing farmers to increase their overall efficiency. From creating reports to generating email templates, ChatGPT can assist farmers in streamlining processes.
Through adequate training with relevant big data, ChatGPT may eventually offer expert-level advice about different farm-related topics. Personalized recommendations can help farm operators further localize their activities for better efficiency, such as identifying suitable crops, controlling pests, predicting outcomes, and even identifying diseases.
However, ChatGPT has its limitations. Language models like ChatGPT often lack the ability to understand abstract cause-and-effect relationships. Though the application can be trained with big data, farmers’ cognitive understanding still outweighs the skills of ChatGPT.
The advent of ChatGPT and other AI-based tools can help farmers optimize their farms by automating repetitive processes and providing insights based on available data. However, the tool cannot replace the deep understanding, critical thinking skills, and the care of human farmers.