Training GPT for generating personalized recommendations for eco-friendly travel and responsible tourism involves unique challenges. To achieve accurate results, specialized data related to environmental sustainability and ethical travel practices is essential. Additionally, balancing model fine-tuning to avoid biased recommendations while ensuring diverse outputs is crucial. Ethical considerations, such as promoting responsible tourism and avoiding greenwashing, must be addressed throughout the training process. Implementing feedback mechanisms to continuously improve the model’s recommendations is also important.
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