What challenges might arise when using an LLM?
When using an LLM, several challenges may arise, including issues related to bias, accuracy, and context misunderstanding. Since LLMs learn from large datasets, they may inadvertently reflect biases present in the data, leading to skewed or inappropriate responses. Furthermore, ensuring that the LLM accurately understands the context of a query can be difficult, potentially resulting in irrelevant or misleading information being generated.