Large Language Model in Various Fields: Opportunities, Challenges and Risks

Pre-trained large language models are gaining much popularity in a very short time, more than any social media platform due to their capability and potential to perform tasks like classification, summarization, text generation and question answering etc. Its performance on this language-based task exceptionally outperforms all traditional deep learning methods. This paper discussed some new research on LLM applications in some critical field’s agriculture, climate, finance and education all these fields are critical and sensitive and effectively important for the whole world population. the study involves applied LLMs and other deep learning methods in these fields and shows the potential capability of LLMs in applications is significant and studied different types of fine-tuned LLM models and strategies used in the application for task-specific, the paper also describes the challenges and limitations of these model and framework in applications their comparisons with existing methods for the task.