(3) Safety concerns associated with LLMs should be given utmost importance as the potentially harmful or biased
outputs, and hallucinations from LLMs can result in severe consequences. Some methods such as human
feedback have shown promise in mitigating these problems.

5.1 Efficiency
In real-world deployment, performance, cost, and latency are all important considerations, not just the performance of
the models. While some parameter-efficient methods have been developed, practitioners must balance efficiency with
effectiveness in the practice.
Harnessing the Power of LLMs in Practice- A Survey on ChatGPT and Beyond